1368 Analytics courses delivered On Demand

This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.

This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.

Our Learn Google Analytics-From a Beginner to becoming a Pro course is a Complete beginner guide to this amazing free tool. You will learn right from setting up your Google Analytics Account to diving deeper into Google Analytics & reporting.  Google's free web analytics service allows you to extract detailed insights about the visitors on your website. It is a very powerful tool that can be used to develop more content and even marketing strategies to boost sales.  Businesses nowadays rely extensively on web-based platforms to reach more customers and improve sales. So relevant knowledge on using Google Analytics can give you the extra edge you need to land your desired job.  The course is structured into simple tutorials with a practical hands-on look at the Google Analytics interface. So, beginners will have no trouble understanding how to work with Google Analytics.

About Course Data Science and Data Analytics with Python: A Comprehensive Course for Beginners Unlock the power of data and gain insights that drive informed decisions with this comprehensive course on data science and data analytics with Python. This course is designed for beginners of all skill levels, with no prior programming experience required. You will learn the essential skills to embark on your data-driven journey, including: Data manipulation with NumPy and Pandas Data visualization with Matplotlib and Seaborn Statistical analysis with Python Machine learning and artificial intelligence You will also gain hands-on experience with real-world data projects, allowing you to apply your newfound knowledge to solve real-world problems. By the end of this course, you will be able to: Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems This course is the perfect launchpad for your data science journey. Whether you are looking to pivot your career, enhance your skill set, or simply quench your curiosity, this course will give you the foundation you need to succeed. Enroll today and start exploring the fascinating world of data science together! What Will You Learn? Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems Course Content Introduction to Python Data Science Introduction to Python Data Science Environment Setup Data Cleaning Packages Working with the Numpy package Working with Pandas Data science package Data Visualization Packages Working with Matplotlib Data Science package (Part - 1) Working with Matplotlib Data Science (Part - 2) A course by Uditha Bandara Microsoft Most Valuable Professional (MVP) RequirementsBeginners level knowledge for working with Data .Programming knowledge not required. Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics

Do you want to learn Tableau and crack the Tableau Certified Data Analyst Exam? Then this course is for you! This course is designed for absolute beginners, and it is well equipped with detailed video tutorials, exam notes PDF, tips and tricks, and full practice tests in exam format along with solutions.

Highlights of the Course Course Type: Online Learning Duration: 11 Hours 11 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about retail analytics and management Understand the core competencies and principles of retail analytics and management Explore the various areas of retail analytics and management Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert retail manager Retail Analytics In Microsoft Excel Course Master the skills you need to propel your career forward in Microsoft excel. This course will equip you with the essential knowledge and skillset that will make you a confident office admin and take your career to the next level. This comprehensive retail analytics in Microsoft excel course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this retail analytics in Microsoft excel course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective Microsoft excel practice and equip you with the essential skills, confidence and competence to assist you in the Microsoft excel industry. You'll gain a solid understanding of the core competencies required to drive a successful career in Microsoft excel. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for office admin or for people who are aspiring to specialize in Microsoft excel. Enroll in this retail analytics in Microsoft excel course today and take the next step towards your personal and professional goals. Earn industry-recognized credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive retail analytics in Microsoft excel course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this Microsoft excel can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This retail analytics in Microsoft excel course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This retail analytics in Microsoft excel course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This retail analytics in Microsoft excel course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Course Introduction Introduction 00:03:00 Part 1: Forecasting Basics of Forecasting 00:05:00 Creating Linear Model with Trendlines 00:08:00 1.1 Getting Data Ready For Regression Model Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Univariate analysis and EDD 00:03:00 Discriptive Data Analytics in Excel 00:10:00 Outlier Treatment 00:04:00 Identifying and Treating Outliers in Excel 00:04:00 Missing Value Imputation 00:03:00 Identifying and Treating missing values in Excel 00:04:00 Variable Transformation in Excel 00:03:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy Variable Creation in Excel 00:07:00 Correlation Analysis 00:09:00 Creating Correlation Matrix in Excel 00:08:00 1.2 Forecasting Using Regression Model The Problem Statement 00:01:00 Basic Equations and Ordinary Least Squares (OLS) method 00:08:00 Assessing accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy: RSE and R squared 00:07:00 Creating Simple Linear Regression model 00:02:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting results of Categorical variables 00:05:00 Creating Multiple Linear Regression model 00:07:00 1.3 Handling Special Events Like Holiday Sales Forecasting in presence of special events 00:02:00 Excel: Running Linear Regression using Solver 00:08:00 Excel: Including the impact of Special Events 00:22:00 1.4 Identifying Seasonality & Trend for Forecasting Models to identify Trend & Seasonality 00:06:00 Excel: Additive model to identify Trend & Seasonality 00:09:00 Excel: Multiplicative model to identify Trend & Seasonality 00:06:00 Market Basket Analysis Market Basket and Lift - Introduction 00:08:00 Named Ranges - Excel 00:10:00 Indirect Function - Excel 00:05:00 2-way lift calculation in Excel 00:11:00 2-way lift calculation - Dynamic 00:07:00 2-way lift data table creation 00:07:00 3-way lift calculation 00:19:00 Store Layout optimization using Lift values 00:15:00 RFM (Recency, Frequency, Monetary) Analysis RFM (recency, frequency, monetary) Analysis 00:08:00 RFM Analysis in Excel- Part 1 00:16:00 RFM Analysis in Excel- Part 2 00:12:00 Part 2: Pricing Part 2: Pricing Steps of setting a Pricing policy 00:03:00 Different Pricing Objectives 00:07:00 2.1 Estimating Demand Estimating Demand 00:07:00 Forms of Demand Curve 00:02:00 Excel: Estimating Linear Demand Curve 00:08:00 Excel: Estimating Power Demand curve with Elasticity 00:05:00 Excel: Estimating Power Demand Curve with points 00:03:00 Subjective Demand curve 00:01:00 Excel: Estimating Subjective Demand Curve 00:02:00 2.3 Evaluating Pricing Strategies Price Bundling 00:07:00 Types of Bundling 00:08:00 The Bundling Problem 00:04:00 Excel: Solving Bundling problem Part 1 00:14:00 Excel: Solving Bundling problem Part 2 00:08:00 Non-Linear Pricing Strategies 00:03:00 Excel: Solving Bundling problem (Price Reversal) 00:08:00 3.1 Lifetime Customer Value Lifetime Customer Value - Key concepts 00:09:00 Lifetime Customer Value - Excel model 00:11:00 3.2 Variations And Sensitivity Analysis Sensitivity Analysis in Excel 00:07:00 Variations in finding customer value 00:07:00 Appendix 1: Excel Crash Course Basics 00:08:00 Worksheet Basics 00:16:00 Entering values and Formulas 00:07:00 Data Handling Basics - Cut, Copy and Paste 00:14:00 Saving and Printing - Basics 00:09:00 Basic Formula Operations 00:13:00 Mathematical Formulas 00:19:00 Textual Formulas 00:17:00 Logical Formulas 00:11:00 Date-Time Formulas 00:07:00 Lookup Formulas ( V Lookup, Hlookup, Index-Match ) 00:08:00 Data Tools 00:19:00 Formatting data and tables 00:18:00 Pivot Tables 00:08:00 Advance Excel- Solver, Data tables 00:15:00 Assessment Assessment - Retail Analytics In Microsoft Excel 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

The goal of this course is to teach you the fundamentals of Alteryx and teach you a more efficient way to clean and prepare your data. You'll learn to work with data in new ways other than Tableau and PowerBI, using Alteryx for all your data analysis needs.

With this course, you'll learn how to connect to the data source in Tableau and use Tableau for data visualization. Along the process, you'll get to grips with Tableau dashboards, explore storytelling with Tableau, and perform actions to share data with others.

You will learn about the business analysis process, from identifying business needs to assessing and prioritizing requirements. You will also gain insights into the world of business analytics, including predictive modeling and data visualization techniques that can help you turn raw data into actionable insights. Throughout the course, you will be introduced to a variety of business analysis techniques, including SWOT analysis, PEST analysis, and Porter's Five Forces framework. You will also explore different useful financial ratios that can be applied to business analysis, such as profitability ratios and liquidity ratios. This knowledge will enable you to make informed decisions and recommendations that drive business success. Finally, you will gain insights into different modern, useful tools of business analysis. From data visualization software to predictive analytics tools, you will learn how to leverage technology to enhance your business analysis capabilities and deliver value to your organization. After the successful completion of the course, you will be able to learn about the following, Understand the nature of business analysis and its role. Explain the business analysis process and business analytics. Describe different business analysis techniques. Explore different useful financial ratios applicable to business analysis. Understand different modern, useful tools of business analysis. You will learn about the business analysis process, from identifying business needs to assessing and prioritizing requirements. You will also gain insights into the world of business analytics, including predictive modeling and data visualization techniques that can help you turn raw data into actionable insights. Throughout the course, you will be introduced to a variety of business analysis techniques, including SWOT analysis, PEST analysis, and Porter's Five Forces framework. You will also explore different useful financial ratios that can be applied to business analysis, such as profitability ratios and liquidity ratios. This knowledge will enable you to make informed decisions and recommendations that drive business success. Finally, you will gain insights into different modern, useful tools of business analysis. From data visualization software to predictive analytics tools, you will learn how to leverage technology to enhance your business analysis capabilities and deliver value to your organization. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Business Analysis Case Studies Self-paced pre-recorded learning content on this topic. Business Analysis Case Studies Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Business analysts Data analysts Consultants, managers. Entrepreneurs Anyone looking to gain a deeper understanding of the role of business analysis in driving business success. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Transform Your Career with Our IT: Data Analysis, Data Science & Data Protection Program - an all-in-one Program Designed for Mastery! Do you know the demand for IT professionals with expertise in data science is skyrocketing? This Ultimate IT: Data Analysis, Data Science & Data Protection Program is your gateway to a thriving career in this dynamic industry. This program is meticulously designed to equip you with the knowledge and skills demanded by hiring managers across various sectors. By enrolling in this IT: Data Analysis, Data Science & Data Protection program, you'll embark on a journey that opens doors to exciting opportunities and empowers you to shape your future in the IT industry. Our IT: Data Analysis, Data Science & Data Protection program will give you a comprehensive understanding of data analysis, from data collection and preparation to data visualisation and communication. You will be equipped with the necessary skills and guidance to uncover insights from data, solve real-world problems, and make informed decisions. Also, you will discover the ethical and legal implications of data handling, how to protect sensitive information & develop a career in this sector. Moreover, we're your dedicated partners on this exciting journey. Our goal isn't just to teach you; it's to support you 24/7 so you can get closer to your dream job. We're so confident with our program that we offer a 100% money-back guarantee, ensuring your complete satisfaction. Learning Outcomes By completing this IT: Data Analysis, Data Science & Data Protection program, you will gain expertise in the following: Data analysis techniques and methodologies. Python programming for data analysis. Business intelligence and data mining. Advanced Excel techniques, including VBA and Power Query. SQL programming and big data technologies. Data Science & Data Protection, Machine Learning with Python and R. Data visualisation with tools like Tableau and Power BI. Statistics and probability for data science. Effective career development and job-seeking skills. Design an engaging resume and excel in the job search. Succeed in interviews, including video interviews. Build a strong LinkedIn profile to connect with professionals and enhance your online visibility in IT: Data Analysis- Data Science & Data Protection field. Courses Included in the Program You get 25 in-demand courses once you enrol in our IT: Data Analysis, Data Science & Data Protection program. => Course 01: Introduction to Data Analysis => Course 02: Data Analytics => Course 03: Python for Data Analysis => Course 04: Basic Google Data Studio => Course 05: Business Intelligence and Data Mining Masterclass => Course 06: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query => Course 07: SQL Programming Masterclass => Course 08: SQL NoSQL Big Data and Hadoop => Course 09: Data Science & Machine Learning with Python => Course 10: Machine Learning with Python => Course 11: Data Science & Machine Learning with R => Course 12: Data Analytics with Tableau => Course 13: Develop Big Data Pipelines with R & Sparklyr & Tableau => Course 14: Complete Introduction to Business Data Analysis Level 3 => Course 15: Data Analysis in Microsoft Excel Complete Training => Course 16: Excel Data Analysis for Beginner => Course 17: GDPR Data Protection Level 5 => Course 18: Master JavaScript with Data Visualization => Course 19: Data Visualization and Reporting with Power BI => Course 20: Statistics & Probability for Data Science & Machine Learning => Course 21: Career Development Plan Fundamentals => Course 22: CV Writing and Job Searching => Course 23: Interview Skills: Ace the Interview => Course 24: Video Job Interview for Job Seekers => Course 25: How to Create a Professional LinkedIn Profile Enrol in our highly regarded IT: Data Analysis, Data Science & Data Protection program, featuring a job-relevant curriculum that ensures your skills align with employer expectations across various sectors. Don't miss this opportunity - your success story starts now! Our IT: Data Analysis, Data Science & Data Protection Program is a comprehensive and industry-relevant journey through data analysis, data science, and IT analytics. With a focus on providing theoretical knowledge and academic depth, this program is your gateway to a promising career in IT: Data Analysis, Data Science & Data Protection sector. Why Choose Us? We take great pride in offering you a great learning experience that stands out. When you consider enrolling in our IT: Data Analysis, Data Science & Data Protection program, you're making a decision that will positively impact your career and knowledge in various aspects related to IT: Data Analysis, Data Science & Data Protection. Here's why choosing us is a smart choice: Updated Materials: We're committed to providing the most up-to-date learning materials. Our dedicated team continuously reviews and updates our content, ensuring you're always learning from the latest sources. When you choose us, you select the most current and relevant information, giving you the edge in your IT career. Flexible Timing: We understand that life can get busy, and you may have existing commitments that can make pursuing further education challenging. That's why we offer flexibility in your study schedule. With our courses, you can learn at your own pace, on your terms. You're in control and can adjust your learning to fit your life. No Hidden Cost: When choosing our program, you won't incur additional expenses. The certification and course materials are all-inclusive within the program's price. You can focus on your studies without worrying about hidden fees. Money-Back Guarantee: Your satisfaction is our top priority. We're so confident in the quality of our courses that we back them up with a 14-day money-back guarantee. We'll refund your investment if you're unsatisfied with your learning experience. Lifetime Access: When you choose to learn with us, you gain access to a course and a lifetime of knowledge. We offer lifetime access to our course materials, allowing you to revisit and refresh your knowledge whenever you need. 24/7 Support: Learning doesn't just happen during traditional working hours; neither should support. Our commitment to your success extends beyond the classroom. We provide 24/7 support, so you can contact us with your questions and concerns anytime. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT: Data Analysis, Data Science & Data Protection program is suitable for: Aspiring IT: Data Analysis, Data Science & Data Protection professionals. Students and recent graduates looking to enter the field. Career changers interested in data analytics. Security professionals seeking to upskill in data security. Anyone interested in learning about IT: Data Analysis, Data Science & Data Protection. Requirements No prior experience is required in our IT: Data Analysis, Data Science & Data Protection program. Career path Upon completing the program, you'll get edges in various IT: Data Analysis, data science & data protection-related jobs including: Data Analyst: £25,000 - £45,000 Business Intelligence Analyst: £30,000 - £50,000 Data Scientist: £35,000 - £60,000 Machine Learning Engineer: £40,000 - £70,000 SQL Developer: £30,000 - £55,000 Tableau Developer: £35,000 - £60,000 Power BI Developer: £35,000 - £60,000 Certificates CPD Accredited (e-Certificate) Digital certificate - Included CPD Accredited (Hard Copy Certificate) Hard copy certificate - Included e-Transcript Digital certificate - Included Hard Copy Transcript Hard copy certificate - Included Student ID Card Digital certificate - Included