Statistics for Analytics and Data Science

Complete  data science course - beginner to expert in data analysis and visualization. 
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8+ hours of video lectures

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The first chapter will focus on one variable analysis - we start with discussing the various descriptive statistics, how data can be represented using frequency tables and then move on to discussing measures of central tendency and their interpretation.
The second module will focus on Correlation and OLS Regression and show how these can be calculated in Excel using various formulae. We will then also discuss the interpretation of these resultsThe next module will focus on Probability theory like sample space, events, randomness and basic set theory. We will then move onto discussing conditional probability and introduce the concept of mutually exclusive events.
In the fourth module, we will discuss Probability Distributions and show the difference between a continuous and a discrete distribution focusing on Normal and Binomial distributions.

The next chapter will discuss Sampling Distributions and introduce the concept of Central Limit Theorem and why sampling is important. We will also link the Central Limit theorem to the normal distribution.The sixth module will focus on confidence intervals and the use of intervals to determine centre of a distribution as opposed to a point estimate such as the mean. We will also discuss the relationship between the significance level (alpha) and the confidence level.

The last module will introduce the concepts of Significance Tests - what they are and aren't (i.e. you can't prove anything); how to define the null and alternate hypotheses correctly; getting the direction and 'tails' of your distribution correct and finally Type I and Type II errors with example and interpretations.
This course is basically the go-to course for laying strong foundations of statistical concepts you want, and the explanation and examples provided are something which haven’t been done in any other course on this platform.
There are helpful quizzes included in all sections that will help you to cement the concepts learnt. Also, we are committed to add new practice activities so that you can practically apply the concepts learnt in this course.
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Why should you start learning STATISTICS NOW!

Jobs in Analytics – Data is everywhere and with that is the need to have professionals who can interpret that data which will come with a good understanding of statistical concepts

Demand is only going to go up – With more organizations realizing the potential of statistics for their business, data analysts knowing statistics will excel over the ones just knowing technical tools. For a good Data Analyst, it is THE backbone!

What will I learn

  • Descriptive Statistics
  • Measures of Central Tendency
  • Correlation
  • Linear Regression
  • Probability Theory
  • Discrete and Continuous Probability Distributions
  • Sampling Distributions
  • Confidence Intervals
  • Significance Tests.
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Course Features

Self paced learning modules designed by experts
Each module consists of exercises/quizzes to practice concepts learned
Life long access to videos, quizzes, exercises and all learning tools within the course
Get your queries and doubts clarified with the course instructor

Courses Curriculum

Frequently asked questions

When does the course begin?

This class is self paced. You can begin whenever you like and then follow your own pace. It's a good idea to set goals for yourself to make sure you stick with the course.

How long will the course be available?

This class will always be available!

Can I skip individual videos? What about entire lessons?

Yes! The point is for you to learn what YOU need (or want) to learn. If you already know something, feel free to skip ahead. If you ever find that you're confused, you can always go back and watch something that you skipped.

What should I do while I'm watching the videos?

Learn actively! You will retain more of what you learn if you take notes, draw diagrams, make notecards, and actively try to make sense of the material.

Are there any pre-requsities for the course?

There are no real pre-requsities apart from you having basic computer literacy, access to internet and MS Excel software

What are the payment options?

You can pay for individual courses as well as subscribe to our online learning school to get instant access to all published courses. You can pay using credit or debit card, we use Stripe as the payment gateway. All card and payment information is processed securely and we do not save any of your personal details 
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