Statistics Essentials for Analytics

Access Duration - 365 Days
Awarded By  Edureka Awarded By Edureka
Guided Learning Hour 20 Guided Learning Hours (20)
Course Materialr Course Material
Self-study Online
4.5( 2 REVIEWS )

What Will I Learn?

Learn to analyse different types of data
Master different sampling techniques
Learn clustering techniques
Learn to solve real-life complex issues by applying probabilistic approach
Learn to illustrate descriptive statistics


If you wish to learn the essential statistics in data science and data analytics, the Statistics Essentials for Analytics is designed to give individuals a strong foundation in the machine learning field. You will acquire a complete understanding of statistical techniques and how these techniques can be applied in real-world data. You will learn to analyse this data, learn about variable types and variable data types.

Statistics Essentials for Analytics will provide a hands-on training on the concept of probability and how to implement these concepts in a case study. You will learn about various sampling techniques and statistical techniques such as Sampling Methods, Bayesian Theorem and Conditional Probability.

Statistics Essentials for Analytics will also teach you about Skewness, Modality, Measures of Spread and Measures of Centre. Qualifying in this course will set you in the right direction, giving you the opportunity to open the door to new and exciting job roles in data science.

Why You Should Consider Taking this Course at Global Edulink?

Global Edulink is a leading online provider for several accrediting bodies, and provides learners the opportunity to take this exclusive course awarded by Edureka. At Global Edulink, we give our fullest attention to our learners’ needs and ensure they have the necessary information required to proceed with the Course.  Learners who register will be given excellent support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships and their favourite restaurants.

  • Access Duration
  • Who is this Course for?
  • Entry Requirement
  • Method of Assessment
  • Certification
  • Awarding Body
  • Career Path & Progression

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lessons at any time.

This course is recommended for,
    • Data Analysts
    • Business Analysts
    • Analytics Managers
  • Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
  • A sound educational background is recommended

In order to complete the Course Statistics Essentials for Analytics, learners will have to submit an assignment. The assignment will demonstrate your familiarity with the particular subject and will test your ability to apply it in a real-world scenario.

Upon the successful completion of the course, you will be awarded the Certificate for Statistics Essentials for Analytics by Edureka.

Edureka is a pioneer in online learning and an agency that has frequently and consistently collaborated with educational and academic institutes. It guarantees expert commitment and is dedicated to learners taking their courses. Edureka is internationally recognised and takes learners a step closer to a leading career in the IT industry.

The Statistics Essentials for Analytics will improve your candidature for a number of jobs in business and data analytics.  You can study further courses in the same field and enhance your academic expertise in data science methodologies, and add this as a valuable skillset on your resume. Your skills will be recognised by leading organisations that give you the opportunity to land a well-paying job and progress up the career ladder. Given below are job titles you can compete for, along with the average UK salary per annum according to

  • Data Analyst - £55,000 (Approximately)
  • Business Analyst - £67,000 (Approximately)
  • Analytics Manager - £79,000 (Approximately)

Key Features

Gain an Accredited UK Qualification
Access to Excellent Quality Study Materials
Personalised Learning Experience
Support by Phone, Live Chat, and Email
Eligible for TOTUM Discount Card
UK Register of Learning Providers Reg No : 10053842

Course Curriculum

1: Understanding the Data
Introduction to Data Types
Numerical parameters to represent data
Statistical parameters to represent data
2: Probability and its uses
Uses of probability
Need of probability
Bayesian Inference
Density Concepts
Normal Distribution Curve
3: Statistical Inference
Point Estimation
Confidence Margin
Hypothesis Testing
Levels of Hypothesis Testing
4: Data Clustering
Association and Dependence
Causation and Correlation
Simpson’s Paradox
Clustering Techniques
5: Testing the Data
Parametric Test
Parametric Test Types
Non- Parametric Test
Experimental Designing
A/B testing
6: Regression Modelling
Logistic and Regression Techniques
Problem of Collinearity
WOE and IV
Residual Analysis

Students feedback


Average rating (2)
5 Star
4 Star
3 Star
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1 Star
    D H

    Drew Hudson

    March 13, 2021
    Practical advice

    The course was very practical and hands-on and I’m able to apply my new found skills in my day to day job role.

    J H

    Jessie Harvey

    February 22, 2021
    Informative course

    Highly informative course on statistical techniques which can be used to analyse different types of data and learn how and where to apply statistical techniques.

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