Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Start A T-Shirt Business Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Start A T-Shirt Business Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Start A T-Shirt Business Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Start A T-Shirt Business Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Start A T-Shirt Business? 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 Start A T-Shirt Business 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 course for? This Start A T-Shirt Business course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Start A T-Shirt Business does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Start A T-Shirt Business 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Start A T-Shirt Business is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction to the T-Shirt Business Welcome to the Course! 00:05:00 Start A T-Shirt Business | Course Overview 00:04:00 Section 02: How to Purchase T-shirt Designs Purchasing T-Shirt Designs | Section Overview 00:02:00 The Cheapest & Fastest Place to Purchase Shirt Designs! 00:08:00 Get Pre-Vetted Freelancers to Create Your Shirt Designs 00:04:00 Hold a Contest for Freelancers to Create Your T-Shirt Design 00:05:00 Section 03: How to Create Your Own T-shirt Designs for Free How to Create T-Shirt Designs | Section Overview 00:02:00 Download This FREE Photo Editor to Create & Edit Designs 00:04:00 Get Text & Font For Your DesignsFor Free! 00:04:00 My Favorite Place to Get Royalty Free Images 00:02:00 Become a Member Here to Access Thousands of Images for Your Designs 00:03:00 Create & Export Your First Completed T-Shirt Design! 00:05:00 Section 04: Create T-Shirt Designs Fast With Templates Placeit T-shirt Design Maker | Access 5000+ Design Templates 00:08:00 Canva T-shirt Designer | Access T-Shirt Design Templates, Images, Fonts & More! 00:07:00 Section 05: Market Research, Keywords & Trademarks for Your T-shirt Business Market Research, Keywords & Trademarks | Section Overview 00:02:00 Selecting A Niche | Create Your Niche List 00:02:00 Market Research | Check Market Trends & Demand 00:04:00 Market Research | What Is Already Selling? 00:06:00 Create A Keyword List | Keyword Research for SEO 00:04:00 Spy on Your Competitors Keywords | What Is Already Working? 00:03:00 How to Search 'Buyer' Keywords from Amazon 00:02:00 Trademarks & Copyright Research | Avoid Future Issues 00:05:00 Section 06: Getting Started on Merch by Amazon Getting Started on Merch by Amazon 00:02:00 Merch by Amazon | Platform Overview 00:04:00 Applying For Merch by Amazon | Request Invitation 00:09:00 Uploading Designs to Merch by Amazon 00:08:00 GIMP 2.10 for Merch by Amazon (Updated 2021) 00:09:00 Tiering Up on Merch by Amazon 00:10:00 Section 07: Getting Started on Spring (Teespring) Getting Started on Teespring | Section Overview 00:02:00 Create Your Teespring Account | Signup & Settings 00:04:00 Teespring Dashboard | Platform Overview 00:04:00 Build Your Teespring Storefront | Banner, Avatar & More 00:12:00 Upload Designs to Teespring | Edit Products & Publish Listings 00:06:00 6 Ways to Optimize Your Product Listings on Teespring 00:16:00 Teespring Analytics Tracking | Connect Google Analytics 00:06:00 Teespring Conversion Tracking | Facebook Pixel Example 00:10:00 Create Discount Codes | Teespring Promotions 00:08:00 Section 08: Getting Started on Redbubble Getting Started on Redbubble | Section Overview 00:02:00 Build Your Redbubble Shop | Banner, Avatar & Artist Bio 00:06:00 Redbubble | Upload Your First Design & Publish Your Product Listing 00:06:00 Tags & Keywords | Optimize Your Redbubble Listings 00:06:00 Create Collections | Organize Your Redbubble Shop 00:04:00 How to Select Default Product Views On Redbubble 00:07:00 Redbubble Markups | Edit Your Product Pricing 00:04:00 Connect Google Analytics to Redbubble 00:05:00 Section 09: Other Marketplaces & Platforms for Your Shirt Designs CafePress | Getting Started on CafePress 00:05:00 TeePublic | Getting Started on TeePublic 00:02:00 Zazzle | Getting Started on Zazzle 00:03:00 Spreadshirt | Getting Started on Spreadshirt 00:03:00 FunnyShirts | Getting Started on FunnyShirts 00:03:00 Section 10: Free Marketing Strategies to Promote Your Designs Free Marketing Strategies | Section Overview 00:01:00 Listing Optimization | SEO, Keywords & Quality 00:01:00 Facebook Marketing | Strategies to Promote for Free on Facebook 00:08:00 Instagram Marketing | Building Your Instagram Brand Page 00:04:00 Pinterest Marketing | Marketing Your Brand with Pinterest 00:03:00 Section 11: Paid Promotion Strategies | Create Ads for Your Designs Paid Promotion Strategies | Section Overview 00:02:00 Create Mock-Ups for Your Ads | Get High Quality Photo or Video Mockups 00:06:00 Facebook Post Boost | Boost Your Facebook Post to Increase Engagement 00:04:00 Facebook Targeted Ads | Custom Audience & Targeted Ads 00:13:00 Google Ads | Create Targeted Ads on Google & YouTube 00:05:00 Section 12: Thanks for Joining! Bonus Lecture 00:03:00 Assignment Assignment - Start A T-Shirt Business 00:00:00
Imagine entering a realm where English prose and mathematical formulas dance together in perfect harmony, creating a tapestry of information that nourishes your mind and soul. This is what our Functional Skills Level 2 - Maths and English course promises - a symbiotic blend of numerical precision and linguistic elegance that empowers you to unlock your full potential. As you delve into the intricacies of multiplication, decimals, and grammar, you'll find yourself armed with the tools to conquer academic and professional challenges with ease. Each lesson is a stepping stone towards mastery, with expertly crafted content that makes learning feel like a thrilling adventure. The interactive lectures and practical exercises are your companions on this journey, guiding you towards a realm of clarity and confidence. No longer will you feel daunted by complex word problems or perplexed by the intricacies of sentence structure. Instead, you'll embrace them as opportunities to showcase your newfound prowess. As you emerge from this transformative experience, you'll find yourself not just proficient, but fluent in the language of Maths and English. Your enhanced skills will open doors to new opportunities, enabling you to communicate more effectively, solve problems with precision, and excel in your academic and professional pursuits. Learning Outcomes Apply multiplication techniques for digit numbers 11, 22, 33. Understand and utilise decimal and fraction conversions. Solve word problems involving ratios and proportions. Gain proficiency in basic grammar and sentence structure. Develop skills for accurate spelling and punctuation use. Understand operations on integers and rational numbers. Solve complex problems using BODMAS rules. Why Choose This Course Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this course for? Students aiming to enhance their Maths and English skills. Professionals seeking to improve their linguistic abilities. Individuals preparing for competitive exams. Anyone interested in expanding their academic knowledge. Individuals seeking to develop critical thinking skills. Career Path Increased eligibility for jobs requiring strong Maths and English skills. Writer or Editor Communications Specialist Data Analyst Teacher or Tutor in Maths or English Administrative or Office Professional. Salary range in the UK: £20,000 - £40,000, depending on the field and position. Certification Upon completion of the Functional Skills Level 2 - Maths and English course materials, you are eligible to take a written assignment test either during or post-course. Successfully passing the test allows you to obtain the PDF certificate for £5.99. Additionally, you may order an original hard copy certificate at an extra cost of £9.60. Prerequisites There are no prerequisites or prior qualifications required to enrol in the Functional Skills Level 2 - Maths and English course. This programme has been professionally developed to be compatible with all PCs, Macs, tablets, and smartphones. Conveniently access the course content from any location at any time, provided you have a reliable internet connection. Course Curriculum Functional Maths Training Course Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fractions 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount.mp4 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Functional skills English Introduction to the Course 00:13:00 Basics of Grammar 00:16:00 The Basics of Sentence 00:11:00 Structure of Sentence 00:19:00 Question 00:13:00 Punctuation & Capitalisation 00:24:00 Spelling 00:27:00 Common Mistakes and Ways to Improve 00:21:00
Embark on a captivating journey with our Travel Writing course. Discover the art of crafting enthralling travel narratives, understand the nuances of publishing, and learn to monetize your writing. This course is your gateway to a thrilling career in travel writing.
Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Microsoft Power BI Masterclass 2021 Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Microsoft Power BI Masterclass 2021 Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Microsoft Power BI Masterclass 2021 Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Microsoft Power BI Masterclass 2021 Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Microsoft Power BI Masterclass 2021? 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 Microsoft Power BI Masterclass 2021 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 course for? This Microsoft Power BI Masterclass 2021 course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Microsoft Power BI Masterclass 2021 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Power BI Masterclass 2021 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Microsoft Power BI Masterclass 2021 is a great way for you to gain multiple skills from the comfort of your home. 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 00:02:00 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 - Microsoft Power BI Masterclass 2021 00:00:00 Assignment Assignment - Microsoft Power BI 00:00:00
The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00
Overview The Professional Bookkeeping Course offers a comprehensive introduction to the essential principles of bookkeeping, covering key concepts and practical techniques. Begin with an overview of the difference between bookkeeping and accounting, and delve into foundational topics such as the accounting equation and the expanded accounting equation. The course provides detailed insights into various bookkeeping practices, including recording transactions, handling credit and cash purchases, and managing credit and cash sales. Learn to differentiate between unearned revenues, prepaid expenses, and unrecorded expenses, as well as to apply depreciation and understand different types of discounts. As you progress, you'll master the accrual accounting system and the double-entry accounting system, including practical applications with the general journal and general ledger. This course is designed to build a solid foundation in bookkeeping skills, preparing you for effective financial record-keeping and reporting. Whether you’re new to bookkeeping or looking to refine your skills, this program offers a structured approach to managing financial transactions and ensuring accuracy in your bookkeeping practices. Key Features of the Course: FREE Professional Bookkeeping Course CPD-accredited certificate Get a free student ID card with Professional Bookkeeping Course training (£10 applicable for international delivery) Lifetime access to the Professional Bookkeeping Course materials The Professional Bookkeeping Course program comes with 24/7 tutor support Get instant access to this Professional Bookkeeping Course Learn Professional Bookkeeping Course training from anywhere in the world The Professional Bookkeeping Course training is affordable and simple to understand The Professional Bookkeeping Course training is entirely online How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the Professional Bookkeeping Course course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Professional Bookkeeping Course. It is available to all students, of all academic backgrounds. Requirements Our Professional Bookkeeping Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 27 lectures • 01:04:00 total length •Introduction: 00:01:00 •Difference between Bookkeeping and Accounting: 00:01:00 •Accounting Equation - Assets, Liabilities and Owners' Equity: 00:04:00 •Expanded Accounting Equation - Revenues and Expenses: 00:02:00 •Transactions: 00:02:00 •Accounts: 00:03:00 •Accrual Accounting System: 00:03:00 •Double-Entry Accounting System - General Journal and General Ledger: 00:03:00 •Recording Transactions: 00:02:00 •Credit Purchases: 00:02:00 •Cash Purchases: 00:01:00 •Credit Sales: 00:04:00 •Cash Sales: 00:02:00 •Unearned Revenues: 00:02:00 •Prepaid Expenses: 00:02:00 •Unrecorded Expenses: 00:04:00 •Unrecorded Revenue: 00:02:00 •Depreciation: 00:03:00 •Types of Discounts: 00:03:00 •Discount Allowed: 00:04:00 •Discount Received: 00:03:00 •Exercise 1: 00:03:00 •Exercise 2: 00:03:00 •Exercise 3: 00:03:00 •Exercise 4: 00:01:00 •Exercise 5: 00:01:00 •Assignment - Professional Bookkeeping Course: 00:00:00
Description Want to increase the business growth of your company by enhancing the workplace environment? Enrol the Workplace Essential Training: Team Player course and learn the workplace essential skills for becoming a good team player. Teamwork is one of the secrets of success for any business organization. However, to ensure good teamwork required a plethora of things including good leadership and the way a leader treat and engage other team members, communication skills, and more. Throughout the course, you will learn how to become a good team player. The course explains team player and non-team player and shows the difference between them. Instead of these, the course discusses the qualities of a team player. You will know the different types of teams and the types of teams a successful organization needs. The course helps you to identify what type of team player you are and what is your role in the workplace. In short, the course guides you to develop strategies for enhancing teamwork. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: This course does not involve any assessment. Students can order their course completion Certificate at an additional cost of £39 for hard copy and in PDF format at £24. Who is this Course for? Workplace Essential Training: Team Player is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Workplace Essential Training: Team Player is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Modules Overview 00:05:00 Being a Team Player 00:15:00 Being a Good Team Player 00:30:00 Team Work 00:20:00 Why Teamwork Fails 00:30:00 Strategies 00:15:00 Course Certification Order your Certificate 00:00:00
[vc_row][vc_column][vc_column_text] Description: Understanding Forex can be a tricky; however it is necessary given that there is so much money involved in the process. In simple terms Forex trading course is a trading option for currency, where you buy one currency for a given price and sell it for more money when the exchange rate is in your favour. If you want to learn more about how the process works then consider getting this Diploma in Forex Trading. The course is divided into two parts but mainly focuses in introducing you to Forex exchange. In the first module you will look into the basics of stock market & Forex trading, by getting an introductory understanding of both. You will learn about stock market trends, understand currency conversion, statistics, Forex Volatility and Market Expectation. You will also discover more about aspects of trade, risk management and trading options. Next module, titled Forex trading simplified, focuses on a variety of topics including Forex pairs, market size and liquidity, spot marketing, futures trading and more. The overall use of this course is endless and getting it now will help you tackle your financial problems with ease. Who is the course for? Professionals who are into foreign exchange trading Everyone who wants to be knowledgeable on forex trading Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be ages 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Forex Trading diploma course will be very beneficial and helpful, especially to: Businessmen Currency Trader Foreign Exchange Trader Professionals And Other Financial-related Career who need knowledge on forex trading! [/vc_column_text][/vc_column][/vc_row] Diploma in Forex Trading Introduction to Forex Trading 00:11:00 Major Currencies and Market Structure 00:10:00 Kinds of Foreign Exchange Market 00:14:00 Money Management 00:11:00 Fundamental Analysis 00:21:00 Technical Analysis 00:32:00 Pitfalls and Risks 00:11:00 Managing Risk 00:16:00 Trading Psychology 00:14:00