154 Courses

Experience the future of geographical analysis with our Machine Learning for Predictive Maps in Python and Leaflet course. Master the unique blend of programming, machine learning, and geographic information systems, all while honing your ability to predict and visualise spatial data in a powerful and effective way. This course offers you an unparalleled understanding of modern map creation, combined with the magic of prediction using machine learning models. Starting from the ground up, you'll be introduced to all the necessary setups and installations. After that, you will be diving into the depth of Django server-side code and front-end application code writing. The heart of the course lies in learning how to automate the machine learning pipeline, leading you to easily create predictive models.  Improve your maps with Leaflet programming, making your predictions accurate and also visually striking. By the end of this course, you will be armed with experience furnished by our comprehensive project source code and assignments, empowering you to drive data-driven decisions and insightful spatial analysis. Join us and map your way to success! Sign up today. Learning Outcomes:Upon completion of the Machine Learning course, you will be able to: Understand how to set up and install relevant software and libraries.Master Django server-side and application front-end code writing.Gain proficiency in the concepts and implementation of Machine Learning.Learn to automate Machine Learning pipelines for efficient workflows.Acquire skills in Leaflet programming for enhanced map visuals.Handle project source code effectively for real-world projects.Apply knowledge practically via assignments and gain experience. Who is this course for?This Machine Learning course is ideal for: Aspiring Data Scientists keen on harnessing geographical data.GIS professionals aiming to integrate Machine Learning into their skill set.Software Developers interested in creating geographically-focused applications.Analysts keen on enhancing their data visualisation skills with mapping. CertificationAfter studying the course materials of the Machine Learning for Predictive Maps in Python and Leaflet course, there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test, you have a range of certification options to choose from. You can claim a CPD Accredited PDF Certificate for £4.99, a CPD Accredited Hardcopy Certificate at £8.00, or you may choose to receive a PDF Transcript for £4.99 or a Hardcopy Transcript for £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate. RequirementsThis professionally designed Machine Learning for Predictive Maps in Python and Leaflet course does not require you to have any prior qualifications or experience. It is open to everyone. You will be able to access the course from anywhere at any time. Just enrol and start learning! Career Path:Our Machine Learning course will help you to pursue a range of career paths, such as: Junior Data Analyst: £25,000 - £35,000 annually.Data Scientist: £40,000 - £60,000 annually.GIS Analyst: £30,000 - £45,000 annually.Geospatial Software Developer: £35,000 - £55,000 annually.Machine Learning Engineer: £50,000 - £80,000 annually.Lead Data Scientist (GIS speciality): £70,000 - £100,000+ annually. Course Curriculum Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:04:00 Creating a Python Virtual Environment 00:07:00 Installing Django 00:09:00 Installing Visual Studio Code IDE 00:06:00 Installing PostgreSQL Database Server Part 1 00:03:00 Installing PostgreSQL Database Server Part 2 00:09:00 Section 03: Writing the Django Server-Side Code Adding the settings.py Code 00:07:00 Creating a Django Model 00:10:00 Adding the admin.py Code 00:21:00 Section 04: Writing the Application Front-end Code Creating Template Files 00:10:00 Creating Django Views 00:10:00 Creating URL Patterns for the REST API 00:09:00 Adding the index.html code 00:04:00 Adding the layout.html code 00:19:00 Creating our First Map 00:10:00 Adding Markers 00:16:00 Section 05: Machine Learning Installing Jupyter Notebook 00:07:00 Data Pre-processing 00:31:00 Model Selection 00:20:00 Model Evaluation and Building a Prediction Dataset 00:11:00 Section 06: Automating the Machine Learning Pipeline Creating a Django Model 00:04:00 Embedding the Machine Learning Pipeline in the Application 00:42:00 Creating a URL Endpoint for our Prediction Dataset 00:06:00 Section 07: Leaflet Programming Creating Multiple Basemaps 00:09:00 Creating the Marker Layer Group 00:10:00 Creating the Point Layer Group 00:12:00 Creating the Predicted Point Layer Group 00:07:00 Creating the Predicted High Risk Point Layer Group 00:12:00 Creating the Legend 00:09:00 Creating the Prediction Score Legend 00:15:00 Section 08: Project Source Code Resource 00:00:00 Assignment Assignment - Machine Learning for Predictive Maps in Python and Leaflet 00:00:00

In the digital age, the ability to interpret and predict data trends is paramount. Introducing 'Data Analysis and Forecasting in Excel', a comprehensive course tailored to unveil the intricacies of Excel's powerful tools. Dive deep into the world of worksheets, discover the magic of PivotTables, and unravel the secrets of data visualisation. Whether you're a novice eager to delve into data or a seasoned analyst looking to refine your skills, this course promises a transformative journey into the realm of Excel analytics. The curriculum is designed with the utmost care to ensure a holistic understanding. From the basics of modifying worksheets to the advanced techniques of forecasting data, every module is a step towards mastering Excel. With a focus on real-world applications, learners will be equipped to harness the potential of Excel, making data-driven decisions with confidence and precision. Visualisation is at the heart of understanding data. This course not only teaches you how to analyse data but also how to represent it effectively using charts, PivotCharts, and the innovative Sparklines. By the end of this course, you'll be adept at mapping data, automating workbook functionalities, and employing lookup functions with finesse. Learning Outcomes: Master the techniques of modifying and organising worksheets for optimal data representation. Understand and implement effective list management strategies within Excel. Analyse complex datasets and derive meaningful insights. Design and create compelling visual representations using charts and other visual tools. Efficiently utilise PivotTables and PivotCharts for advanced data analysis. Integrate and manage data across multiple worksheets and workbooks. Implement lookup functions and audit formulas to ensure data accuracy and integrity. Why buy this Data Analysis and Forecasting in Excel course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Data Analysis and Forecasting in Excel Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience Who is this Data Analysis and Forecasting in Excel course for? Individuals keen on mastering Excel for data interpretation and visualisation. Business analysts aiming to enhance their data forecasting abilities. Students pursuing a career in data analytics or business intelligence. Managers and decision-makers seeking to make data-driven strategies. Researchers looking to streamline and enhance their data processing techniques. Career path Data Analyst: Average salary range £30,000 - £50,000 annually. Business Intelligence Analyst: Average salary range £35,000 - £55,000 annually. Market Research Analyst: Average salary range £27,000 - £45,000 annually. Financial Analyst: Average salary range £35,000 - £60,000 annually. Operations Research Analyst: Average salary range £40,000 - £65,000 annually. Management Analyst: Average salary range £45,000 - £70,000 annually. Prerequisites This Data Analysis and Forecasting in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analysis and Forecasting in Excel was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Overview Are you ready to dive into data analysis and unlock valuable insights that can drive business growth? Introduction to Data Analysis is a comprehensive course designed to provide learners with a solid foundation in the principles and techniques of data analysis. This course will equip you with the essential skills and knowledge to thrive in data analysis. With a comprehensive curriculum spanning 22 modules, you will delve deep into the world of data, from understanding its fundamentals to harnessing it for meaningful insights. Our expertly crafted curriculum covers data collection, process management, statistical tools, control charts, and strategies to deal with variation.Enrol today in this Introduction to Data Analysis course to succeed in all areas of your life. Let your skill become your greatest asset! Key Features of the Course This course equips learners with the essential tools and knowledge to analyse and interpret data accurately. The course is accredited, ensuring its recognition and credibility within the professional community. Learners will have access to 24/7 learning assistance, allowing them to seek guidance and support whenever needed. Who is This course for? This Introduction to Data Analysis course is suitable for students & professionals from various fields, including business, finance, marketing, healthcare, and more. It is also beneficial for individuals looking to enhance their data analysis skills for personal or professional development. What You Will Learn Throughout the course, you will delve into various modules that cover essential concepts and tools for data analysis. Starting with an introduction to process management principles, you will progress through topics such as the voice of the process, customer feedback analysis, and data visualisation using tools like Pareto charts, histograms, and run charts. You will also gain a deep understanding of variation and control charts and learn how to interpret and use them effectively for process improvement. By the end of the course, learners will have a solid understanding of these topics and be able to apply their knowledge to real-world data analysis scenarios. Why Enrol in This Course Data analysis is one of the most sought-after skills in today's job market. According to LinkedIn, data analysis is among the top 10 most in-demand skills for 2023. Data analysis can help you: Improve your decision-making skills and confidence Enhance your problem-solving and critical-thinking abilities Boost your creativity and innovation potential Increase your productivity and efficiency Advance your career and create earning potential Requirements There are no specific prerequisites for this course. However, a basic understanding of mathematics and statistics will be beneficial. Access to a computer with an internet connection is also required to complete the course. Career Path Completing this Introduction to Data Analysis course can lead to various career opportunities in data analysis. Some of the course-related professions in the UK, along with their average salaries, include: Data Analyst (£35,000 - £45,000 per year) Business Analyst (£40,000 - £55,000 per year) Financial Analyst (£40,000 - £60,000 per year) Market Research Analyst (£25,000 - £40,000 per year) Operations Analyst (£35,000 - £50,000 per year) Healthcare Data Analyst (£35,000 - £50,000 per year) Quality Control Analyst (£25,000 - £35,000 per year) Certification Upon successful completion of the course, learners will receive a CPD certificate, validating their achievement and demonstrating their commitment to professional development in the field of data analysis. Course Curriculum 3 sections • 24 lectures • 02:13:00 total length •Module 01: Introduction: 00:02:00 •Module 02: Agenda and Principles of Process Management: 00:06:00 •Module 03: The Voice of the Process: 00:05:00 •Module 04: Working as One Team for Improvement: 00:04:00 •Module 05: Exercise: The Voice of the Customer: 00:03:00 •Module 06: Tools for Data Analysis: 00:07:00 •Module 07: The Pareto Chart: 00:03:00 •Module 08: The Histogram: 00:03:00 •Module 09: The Run Chart: 00:04:00 •Module 10: Exercise: Presenting Performance Data: 00:05:00 •Module 11: Understanding Variation: 00:06:00 •Module 12: The Control Chart: 00:06:00 •Module 13: Control Chart Example: 00:04:00 •Module 14: Control Chart Special Cases: 00:06:00 •Module 15: Interpreting the Control Chart: 00:10:00 •Module 16: Control Chart Exercise: 00:07:00 •Module 17: Strategies to Deal with Variation: 00:06:00 •Module 18: Using Data to Drive Improvement: 00:14:00 •Module 19: A Structure for Performance Measurement: 00:06:00 •Module 20: Data Analysis Exercise: 00:06:00 •Module 21: Course Project: 00:03:00 •Module 22: Test your Understanding: 00:17:00 •Resources - Introduction to Data Analysis: 00:00:00 •Assignment - Introduction to Data Analysis: 00:00:00

Power Query and Power Pivot in Microsoft Excel:  A Quickstart Guide   Course Description   Copyright Ross Maynard 2022   Course Description Power Query and Power Pivot are two tools available in Microsoft Excel. If you are serious about data analysis, then you need to know how to use these tools. This Quickstart guide will give you the skills you need to get started with these powerful features. The Power Query tool allows you to import external data and then modify it to meet your needs, before loading it into Excel. These editing tasks are all things you can do manually in Excel, but Power Query greatly speeds things up when you have a large volume of data. The Power Pivot tool allows you to connect multiple data tables in an extended pivot table. Power Pivot also introduces new analysis and query tools to further enhance data analysis. If data analysis is your thing, then this course will help you get up to speed with these feature-filled tools. Through screen-capture video, the course provides a step-by-step guide to the foundation skills needed to use both Power Query and Power Pivot effectively. The course is designed to make your first steps into Power Query easy and to build your confidence to use them on your own. Both Power Query and Power Pivot are also available in Microsoft Power BI – the data visualisation suite. Once you have learned how to use Power Query and Power Pivot in Excel with this course, you’ll have a head start in getting to grips with Power BI Get up to speed with Power Query and Power Pivot in Microsoft Excel with this Quickstart guide.     Key Learning Points  On completion of the course, delegates will be able to: Use Power Query to load data from an external source into Microsoft Excel Clean and manipulate external data before loading it into Excel Consolidate separate files with Power Query Update Excel tables with new data in the same format Use Power Query to “unpivot” report tables to prepare the data for analysis Explain the core functionality of Power Pivot Link data tables together in the Power Pivot data model Create pivot tables that draw data from several source data tables Create performance measures and new analysis in the Power Pivot data model Use the most popular DAX query language functions in Power Pivot     Curriculum Lesson 1: Power Query Quickstart Lesson 2: Consolidating Files with Power Query Lesson 3: Unpivoting a Table Lesson 4: Power Pivot Quickstart Lesson 5: Power Pivot – Adding Data and Functionality Lesson 6: Key DAX Functions for Power Pivot Lesson 7: The DAX CALCULATE Function Lesson 8: Key Learning Points     Pre-Course Requirements There are no pre-course requirements     Additional Resources Starter spreadsheets for each lesson are provided so that learners can follow the steps presented.     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel     Questions What is the main feature of Power Query? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     What is the main feature of Power Pivot? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     Which of the following actions cannot be performed within Power Query? Split text into multiple columns Trimming text and removing spaces Creating calculated columns using DAX functions Make date based calculations   Which of the following statements is true? You can use Power Query to combine files that have the same format and open them all in the same spreadsheet You can use Power Query to link data tables and create pivot tables that pull data items from all the linked tables You can use Power Query to create interactive dashboard reports You can use Power Query to export data files to Microsoft Access and other databases     Which of the following provides a compelling case to use Power Pivot in Microsoft Excel? The data visualisation and presentation features of Power Pivot are much more powerful than those in Excel Power Pivot offers the ability to clean large files of data imported from other systems quickly Existing reports and tables can be “reverse engineered” (unpivoted) to create data tables for more advanced analysis Files sizes in Power Pivot are smaller than in Excel and there is no limit on the number of rows of data that can be stored. This makes it much faster and more efficient to use Power Pivot for large data sets     Power Pivot uses analysis functions from the DAX formula language. What does “DAX” stand for? Digital Architecture Extraction Data Arbitrage Extrapolation Display Analytics Extension Data Analysis Expressions Deeply Annoying Exercise   The DAX CALCULATE function is one of the most powerful and useful functions available in Power Pivot. Which statement best describes it? It performs row by row calculations defined by the user and adds the total of them all together for a specified table It performs row by row calculations defined by the user and displays the maximum result for a specified table It performs a defined calculation and then applies filters specified by the user It filters the data in a specified table according to criteria set by the user   As well as in Power Pivot in Microsoft Excel, in what application are DAX functions also available? Microsoft PowerPoint Microsoft Forms Microsoft Teams Microsoft Power BI   How do DAX functions differ from Microsoft Excel functions? DAX functions are designed specifically for use with SQL based data sources DAX functions are completely new and provide additional functionality within Microsoft Excel DAX functions never take a cell reference or a range as reference, but instead take a column or table as reference DAX date and time functions return a date as a serial number, whereas Excel date and time functions return a datetime data type  

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Register on the Create Animations Using Flourish Studio today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Create Animations Using Flourish Studio course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Create Animations Using Flourish Studio course Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Create Animations Using Flourish Studio course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Introduction To Flourish Studio Welcome 00:04:00 Flourish Studio Background Story 00:01:00 Features of Flourish Studio 00:02:00 Flourish Studio Plans (Free, Business, Enterprise) 00:02:00 Getting Started With Flourish Signing up 00:02:00 Home Page Interface Walkthrough 00:06:00 Creating our First Flourish Visualisation 00:04:00 Adding And Managing Data In Flourish Templates Managing Data in Visualisations 00:08:00 Column Bindings 00:06:00 Merge Datasets 00:07:00 Creating Visualisations In Flourish Studio From Scratch Creating a Bar or Line Chart in Flourish Studio - First Steps 00:08:00 Changing Settings to update Chart's look and feel - 1 00:21:00 Changing Settings to update Chart's look and feel - 2 00:10:00 Changing Settings to update Chart's look and feel - 3 00:12:00 More Visualisation Templates In Flourish Studio Table Charts (including mini visualisations) 00:09:00 Creating a Hierarchy Visualisation 00:05:00 Scatter Plot 00:06:00 More interesting variations of Scatter Plot 00:04:00 Map & Projection Charts + 3D Maps 00:08:00 Survey Charts 00:07:00 Gantt Chart 00:06:00 Radar Chart in Flourish Studio 00:06:00 Creating A Story And Other Options How to create a Story in Flourish 00:13:00 Exporting, Publishing and Sharing 00:05:00 Flourish's Embed Options 00:06:00 How to Delete Projects 00:02:00 Other Exciting And Important Features Controlling access to Visualisations and stories with different Account Types 00:03:00 How to create a video or GIF from Flourish Visualisation/Story 00:04:00 How to generate the thumbnail of your visualisation 00:02:00 Customise colours in Flourish palettes 00:02:00 How to show published projects on your profile page 00:03:00 How to colour parts of your text with custom HTML 00:03:00 Add Social icons in Footer 00:02:00 Data Visualisation Tips & Resources How to select the right Visualisation Template 00:05:00 Dashboard Development Best Practices 00:04:00 Sources to get Datasets to use in Visualisations 00:02:00 Useful Resources to get Help & Continue Learning 00:06:00 Congratulations Congratulations on Course Completion 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Fall into Savings. Enjoy the biggest price fall this Autumn! Life Just Got Better This Summer! Get Hard Copy + PDF Certificates + Transcript + Student ID Card as a Gift - Enrol Now Tired of browsing and searching for the course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive bundle that has everything you need to succeed in Xero and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all in one Xero bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Xero course that will enhance your skills and prepare you for the competitive job market. Also, our Xero experts are available for answering your queries and help you along your learning journey. Advanced audiovisual learning modules of these courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Xero, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Xero Bundle Consists of the following Premium courses: Course 01: Level 3 Xero Training Course 02: Payroll Management - Diploma Course 03: Introduction to Accounting Course 04: Accounting and Bookkeeping Level 2 Course 05: Managerial Accounting Masterclass Course 06: Diploma in Quickbooks Bookkeeping Course 07: Theory of Constraints, Throughput Accounting and Lean Accounting Course 08: Internal Audit Training Diploma Course 09: Level 3 Tax Accounting Course 10: Team Management Course 11: Business Analysis Level 3 Course 12: GDPR Data Protection Level 5 Course 13: Microsoft Excel Training: Depreciation Accounting Course 14: Microsoft Excel Level 3 Benefits you'll get choosing Apex Learning for this Xero: Pay once and get lifetime access to 14 CPD courses Certificates, student ID for the title course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) Curriculum of Xero Bundle Course 01: Level 3 Xero Training Introduction Getting Started Invoices and Sales Bills and Purchases Bank Accounts Products and Services Fixed Assets Payroll VAT Returns Course 02: Payroll Management - Diploma Sage 50 Payroll for Beginners Module 1: Payroll Basics Module 2: Company Settings Module 3: Legislation Settings Module 4: Pension Scheme Basics Module 5: Pay Elements Module 6: The Processing Date Module 7: Adding Existing Employees Module 8: Adding New Employees Module 9: Payroll Processing Basics Module 10: Entering Payments Module 11: Pre-Update Reports Module 12: Updating Records Module 13: e-Submissions Basics Module 14: Process Payroll (November) Module 15: Employee Records and Reports Module 16: Editing Employee Records Module 17: Process Payroll (December) Module 18: Resetting Payments Module 19: Quick SSP Module 20: An Employee Leaves Module 21: Final Payroll Run Module 22: Reports and Historical Data Module 23: Year-End Procedures Sage 50 Payroll Intermediate Level Module 1: The Outline View and Criteria Module 2: Global Changes Module 3: Timesheets Module 4: Departments and Analysis Module 5: Holiday Schemes Module 6: Recording Holidays Module 7: Absence Reasons Module 8: Statutory Sick Pay Module 9: Statutory Maternity Pay Module 10: Student Loans Module 11: Company Cars Module 12: Workplace Pensions Module 13: Holiday Funds Module 14: Roll Back Module 15: Passwords and Access Rights Module 16: Options and Links Module 17: Linking Payroll to Accounts Course 03: Introduction to Accounting Accounting Fundamental What is Financial Accounting Accounting Double Entry System and Fundamental Accounting Rules Financial Accounting Process and Financial Statements Generates Basic Accounting Equation and Four Financial Statements Define Chart of Accounts and Classify the accounts External and Internal Transactions with companies Short Exercise to Confirm what we learned in this section Accounting Policies What are Major Accounting Policies need to be decided by companies Depreciation Policies Operational Fixed Asset Controls Inventory Accounting and Controls Revenue Accounting and Controls Course 04: Accounting and Bookkeeping Level 2 Introduction to the course Introduction to Bookkeeping Bookkeeping systems Basics of Bookkeeping The functionality of bookkeeping On a personal note Course 05: Managerial Accounting Masterclass Setion 1 Manaerial Accounting Defined Financial Accounting Compared to Managerial Accounting Trends Foundation Concepts Setion 2 Process costing vs Job Cost Job cost part 1 Job cost part 2 Allocating costs to multiple products Departmental Overhead Rate Activity-Based Costing Setion 3 Cost Behavior Cost Behavior Continued Break Even Point Break Even Point Changes Sales Mix Pricing Short Term Decisions Section 4 Budgeting Intro Budgetin continued Operating Budgets Cash Budget Budgeted Balance Sheet Performance Evaluation Performance Evaluation Cont Standards Standard Costs Continued Setion 5 Capital Investment Decisions Capital Investment Analysis Course 06: Diploma in Quickbooks Bookkeeping Getting prepared - access the software and course materials Getting started Setting up the system Nominal ledger Customers Suppliers Sales ledger Purchases ledger Sundry payments Sundry receipts Petty cash VAT - Value Added Tax Bank reconciliation Payroll / Wages Reports Tasks Course 07: Theory of Constraints, Throughput Accounting and Lean Accounting The Theory of Constraints and Throughput Accounting Lean Accounting Summary and Lean Accounting Assignment Course 08: Internal Audit Training Diploma Auditing as a Form of Assurance Internal Audit Procedures Technology-based Internal Audit Internal Control and Control Risk Audit Interviews Reporting Audit Outcome UK Internal Audit Standards Career as an Auditor Course 09: Level 3 Tax Accounting Tax System and Administration in the UK Tax on Individuals National Insurance How to Submit a Self-Assessment Tax Return Fundamentals of Income Tax Advanced Income Tax Payee, Payroll and Wages Capital Gain Tax Value Added Tax Import and Export Corporation Tax Inheritance Tax Double Entry Accounting Management Accounting and Financial Analysis Career as a Tax Accountant in the UK Course 10: Presenting Financial Information Presenting Financial Information The Hierarchy of Performance Indicators The Principle of Effective Reports Guidelines for Designing Management Reports Methods of Presenting Performance Data The Control Chart: Highlighting the Variation in the Data The Pareto Chart: Highlighting Priorities Exercise: The Control Chart An Example Management Report Interpreting Performance Data Supporting Colleagues by Giving Feedback Data Visualisation Final Thoughts on Presenting Financial Information Course 11: Business Analysis Level 3 Introduction to Business Analysis Business Processes Business Analysis Planning and Monitoring Strategic Analysis and Product Scope Solution Evaluation Investigation Techniques Ratio Analysis Stakeholder Analysis and Management Course 12: GDPR Data Protection Level 5 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations Course 13: Microsoft Excel Training: Depreciation Accounting Introduction Depreciation Amortization and Related Terms Various Methods of Depreciation and Depreciation Accounting Depreciation and Taxation Master Depreciation Model Conclusion Course 14: Microsoft Excel Level 3 Microsoft Excel 2019 New Features Getting Started with Microsoft Office Excel Performing Calculations Modifying a Worksheet Formatting a Worksheet Printing Workbooks Managing Workbooks Working with Functions Working with Lists Analyzing Data CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Xero bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Xero is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so that you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course; it can be studied in your own time at your own pace. Career path Having this various expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Level 3 Xero Training) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Journalism is a noble and respective profession. Journalists bear the burden of presenting the crucial news and information to the mass people. If you want to build your career as a journalist or in the media industry, this journalism course can be the first step towards your professional journey. Learn the necessary skills you need to be a journalist from this Journalism course today. Our Journalism course lessons were prepared by experts and feature interactive activities. You'll learn how you can use various opportunities effectively from industry experts. This Journalism course has been divided into understandable and manageable sections that will help you grasp each concept- from the basic to advanced course components. Learn from industry experts today and enhance your skills and knowledge in no time. This Journalism course will increase your possibility to get your desired job and boost your personal growth. Learning Objectives Learn the basic principles of journalism Understand the roles and responsibilities of a journalist Familiarise with the ethical values and aspects of journalism Learn about various legal regulations and obligations Understand the language of journalism Be able to take notes fast and effectively Learn how to present your news attractively Grasp effective tips about data visualisation and presentation Who is this Course for? The Journalism course is ideal for highly aspiring individuals who wish to enhance their professional skills and train for the job they want! Also, this course is highly beneficial for people who want to have some in-depth knowledge on this topic and keep up to date with the latest information. So, you can enrol in this course if you are: Journalists Reporters Editors News Presenters News Researchers Study the Journalism course today and enhance your professional skillset from the comfort of your home! Entry Requirement There are no formal entry requirements for the Journalism course; with enrollment, this course is open to anyone! Anyone with a passion for learning about Journalism can enrol in this course without any hesitation. Although, the learner should be aged 16 or over to enrol in this course. Also, they need to have a good understanding of the English language to attend this course and understand what this course is about. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path This Journalism course will help you gain all the necessary theoretical knowledge to excel in the relevant field. Enrol on our Journalism course now and get started on the journey of taking your career to the next level. Course Curriculum Module 01: Introduction and Principles of Journalism Introduction and Principles of Journalism 00:18:00 Module 02: History and Development of Journalism History and Development of Newspaper Journalism 00:26:00 Module 03: Interviewing Interviewing 00:35:00 Module 04: Newspaper Journalism Newspaper Journalism 00:30:00 Module 05: News Writing, Production and Reporting News Writing, Production and Reporting 00:20:00 Module 06: Television Journalism Television Journalism 00:32:00 Module 07: Radio Journalism Radio Journalism 00:37:00 Module 08: Media Regulatory Bodies Media Regulatory Bodies 00:31:00 Module 09: Writing Skills for Journalists Writing Skills for Journalists 00:41:00 Module 10: Journalism law Journalism Law 00:35:00 Module 11: Defamation Defamation 00:20:00 Module 12: Journalism Ethics Journalism Ethics 00:17:00 Module 13: Health and Safety for Journalists Health and Safety for Journalists 00:38:00 Module 14: Niche Journalism Niche Journalism 00:24:00 Module 15: Tips on Writing a Good Feature Story Tips on Writing a Good Feature Story 00:34:00 Module 16: Online and Freelance Journalism Online and Freelance Journalism 00:16:00 Module 17: Becoming a Journalist Becoming a Journalist 00:29:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00