Statistics Essentials for Analytics
Access Duration - 365 Days
Awarded By Edureka
Guided Learning Hours (20)
Course Material
Number of Modules 06
Self-study Online
4.5( 2 REVIEWS )
130 STUDENTS
Awarded by
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
Overview
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 https://www.glassdoor.com.
- Data Analyst - £55,000 (Approximately)
- Business Analyst - £67,000 (Approximately)
- Analytics Manager - £79,000 (Approximately)
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 | |||
| Covariance | |||
| 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 | |||
| Heteroscedasticity | |||
| Homoscedasticity | |||
Drew Hudson
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.
Jessie Harvey
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.