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Diploma in Data Analytics with Python

This free online course covers the importance and uses of data in making business driven decisions in today's industries

Data Science
Free Course
This free online course explains in great detail, analytics in a wide variety of industries. The course will be of great interest to students and professionals who wish to learn more about the use of analytics in their career and life. The course includes detail on how to develop the in-demand skills and knowledge needed to analyze data and drive decision-making to improve business performance in a today's data driven industries.
  • Duration

    15-20 Hours
  • Assessment

  • Certification

  • Responsive

  • Publisher






View course modules


The course begins by explaining the importance of data analysis and how data can be used in making value based decisions to a business. You will learn about how python as a programming language is well suited for data analytics. You will learn about the basics of python and the simple python installation process. You will also be introduced to probability and how probability is used in solving analytical based problems. 

The course explains sampling techniques and the concept of random sampling in data analytics. You will get to know more about the various types of sampling distributions and how to solve probabilistic tasks using sample distributions. You will also learn about the process of statistical hypothesis testing and how it is used in statistical inference. 

The course then explains the design, conduction of experiments involving randomized complete block designs and the concept of analysis of variance. You will learn about the simple linear and multiple regression model. You will learn about the maximum likelihood principle and how it is used in binomial distributions. You will also learn about the chi-square test, its applications, including test for the goodness of fit and the test for independence. 

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Introduction to Data Analytics and Python Fundamentals

Introduction to probability

Sampling and Sampling Distribution

Hypothesis Testing

Two Sample Testing

Diploma in Data Analytics with Python - First Assessment

Linear Regression

Regression Model Analysis

Maximum Estimations and Regression

Regression Analysis

Chi Square Test

Diploma in Data Analytics with Python - Second Assessment

Course assessment

Learning Outcomes

Upon successfull completion of this course, you will be able to: 

  • Explain why data analytics is important in today's business environment 
  • Explain the relationship between statistics, analytics and data science
  • Explain solutions to problems using the laws of probability, including the laws of addition, multiplication and conditional probability
  • Discuss Binomial, Poisson, Hyper geometric distributions in discrete distributions 
  • Explain the inferences on the differences between two population means 
  • Explain the application of quality engineering techniques and the systemic reduction of process variability
  • Describe engineering experiments involving several factors using the factorial design approach 
  • Describe how ANOVA is used to analyze data from experiments 
  • Describe the test of independence using the investment example 



All Alison courses are free to enrol, study and complete. To successfully complete this Diploma course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Diploma course, you have the option to acquire an official Diploma, which is a great way to share your achievement with the world. Your Alison Diploma is:

Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning

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