Machine Learning for Absolute Beginners – Level 3

Machine Learning for Absolute Beginners – Level 3

257 STUDENTS ENROLLED

    Overview

    Master Data Visualization and perform Exploratory Data Analysis (EDA) using Python, Matplotlib and Seaborn with our Machine Learning for Absolute Beginners – Level 3 course. Data visualization is a technique to make a graphical representation of data which allows trends and patterns to be more easily seen.

    One of the main features of the Machine learning algorithm is to understand historical data and apply their findings to new information, constructing better visualization models. This becomes easier to figure out the trends, patterns and irregularities in the data which highlights changes. These features are being extensively used in business analysis, decision making, financial analysis, market research and so much more.   

    Applications and websites are adapting machine learning to recommend users better and convenient products. The scope of machine learning can be used in a huge array of fields ranging from data science, finance, medical research and lots more. As more and more companies are adopting such techniques Machine language skills are likely to create a lot of jobs in the future. 

    Highlights of Machine Learning for Absolute Beginners – Level 3 Course

    • Become familiar with the techniques of Performing Exploratory Data Analysis (EDA) for any Dataset
    • Understand methods of Visualising Data using a Variety of ChartTypes
    • Learn the  Fundamentals of Matplotlib and Seaborn
    • Creating different types of bars such as Creating Bar, Grouped Bar, Stacked Bar, 
    • Learn to Create Pie, Tree-map, Lollipop charts with the data set
    • Compose Line, Area, Stacked Area charts
    • Make Histogram, Density, Box-and-Whisker, Swarm charts
    • Produce Scatter, Correlogram, Heat-Map, Hexbin-Map charts

    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

    How is the course assessed?

    To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion.

    Will I receive a certificate of completion?

    Upon successful completion, you will qualify for the UK and internationally-recognised professional qualification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15.

    Why study this course

    Machine Learning for Absolute Beginners – Level 3 Course is open to all, with no formal entry requirements. Completing this course will open up job opportunities in IT, data science, research analysis, finance, software and app development and so on. 

    Requirements 

    All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.

    Course Curriculum

    Getting Started with Level 3!
    Welcome 00:03:00
    Our Overall Learning Path 00:02:00
    How to Practice 00:03:00
    Data Visualization with Matplotlib and Seaborn
    Overview 00:02:00
    Matplotlib – Overview 00:08:00
    Matplotlib – Figures, Axes 00:03:00
    Matplotlib – The OO and Pyplot Interfaces 00:07:00
    Matplotlib – APIs 00:06:00
    Seaborn – Overview 00:04:00
    Seaborn – Functions 00:06:00
    Seaborn – Chart Customization 00:05:00
    Seaborn – API 00:04:00
    A little bit about NumPy 00:07:00
    The Right Chart 00:03:00
    Ranking and Proportion Charts
    Overview 00:01:00
    Bar Chart 00:10:00
    Grouped Bar Chart 00:09:00
    Lollipop Chart 00:04:00
    Stacked Bar Chart 00:04:00
    Pie Chart 00:04:00
    Treemap 00:06:00
    Optimizing Colors 00:07:00
    Trend and Distribution Charts
    Overview 00:02:00
    Line Chart 00:07:00
    Area Chart 00:02:00
    Stacked Area Chart 00:04:00
    Histogram Chart 00:07:00
    Density Curve Chart 00:06:00
    Box-and-Whisker Chart 00:09:00
    Bee-swarm Chart 00:02:00
    Correlation Charts
    Overview 00:03:00
    Scatter Chart 00:10:00
    Correlogram 00:03:00
    Heatmap 00:09:00
    Hexbin Map 00:04:00
    Course Summary
    Let’s Recap and Thank You! 00:03:00

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