Free Statistics for Data Science Course

Statistics for Data Science

star 4.51  Beginner level 1.5 learning hrs 8.4K+ Learners

Join this free course to be knowledgeable of the key concepts of Statistics for Data Science, Machine Learning, and Business Intelligence. Know the need for normal distribution, sampling, and hypothesis in data analytics practices

Instructor:

Dr. Abhinanda Sarkar

Key Highlights

course content icon

Get free course content

handyman icon

Master in-demand skills & tools

quiz icon

Test your skills with quizzes

About this course

The first lesson in this online course introduces you to the fundamental terminologies of statistics, including probability, distribution, hypotheses, and CLT (Central Limit Theorem), the basic statistics concepts for Data Science. The course addresses the hypothesis used to support or refute the statements for distribution after explaining the Normal distribution with examples. Using the Central Limit Theorem, you will subsequently gain a complete understanding of the Sampling Distribution concept. The instructor concludes by illustrating the theorem with the hypotheses. Enroll in this Statistics course for Data Science to learn the various theories, hypotheses, and theories and earn a certificate of completion.

 

Continue to learn in the Data Science domain after this free, beginner-level Statistics for Data Science course. The Great Learning platform provides advanced-level Data Science courses covering all the concepts in depth to benefit your career. 

Stand out with an industry-recognized certificate

local_fire_department

10,000+ certificates claimed, get yours today!

blue-tick

Get noticed by top recruiters

blue-tick

Share on professional channels

blue-tick

Globally recognised

blue-tick

Land your dream job

Certificate Image

Course outline

Probability - Meaning and Concepts

You will learn what probability means and its concepts in this module through some examples. The instructor will discuss what an experiment is with an example and define and thoroughly explain the formula to determine the likelihood of an event. Later, a diagram will assist you in comprehending the extreme probability values and mutually exclusive events.
 

Normal Distribution and its Example

This section explains normal distribution for continuous functions and the association between mean, median, and mode in a normal distribution with solved examples and also discusses its properties and practical applications. You will also understand density function and standard distribution with solved example problems.

Hypothesis Testing Outline

This section outlines a technique followed in inferential statistics called Hypothesis testing. It highlights confidence intervals, types of errors, specific hypothesis, and types of statistical procedures used. 
 

Concepts of Sampling Distribution

This section begins by explaining the need for sampling. It discusses the population, sample statistics, population parameters, and sample distribution concepts. 
 

Sampling Distribution- CLT(Central Limit Theorem)

This section begins by highlighting the technique to connect the sample with the population. It describes CLT, its properties, and concepts, like standard deviation, sampling distribution, standard error, and z-score, by formulating to solve for an example problem. It also analyzes various assumptions of the solution of CLT. 
 

Hypothesis

This section defines the hypothesis and discusses the null and alternative hypotheses and their application in Machine Learning and Business Intelligence. 
 

Get access to the complete curriculum once you enroll in the course

Statistics for Data Science

rating icon 4.51

1.5 Hours

Beginner

user icon

8.4K+ learners enrolled so far

blue-tick

Get free course content

blue-tick

Master in-demand skills & tools

blue-tick

Test your skills with quizzes

Level up with advanced skills & become job ready with Pro+

Subscribe to Pro+ today to build skills with 50+ Pro courses and prep for jobs with advanced AI tools.

img icon PRO
Statistics for Data Science & Analytics
3 projects 3.5 hrs video content
green-tick

Practice exercises

green-tick

Guided Projects

green-tick

AI Resume Builder

green-tick

AI mock interviews

Start 7-Day Free Trial

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.51
71%
20%
7%
0%
2%
Reviewer Profile

5.0

“Deepened Understanding of Statistics and Data Analysis”
I really enjoyed how the course explained complex statistical concepts like the normal distribution and the central limit theorem in simple, relatable terms. The practical examples and interactive quizzes helped reinforce the learning. It was also great to see how these statistical principles are used in real-world data science applications.
Reviewer Profile
Muhammad Zaid

5.0

“Easy to Follow and Great Quizzes and Assignments”
The course was absolutely great. I learned a lot from this course.
Reviewer Profile

5.0

“Easy to Learn, Easy to Grasp, and Easy to Follow”
The way the course was designed is extremely easy to understand and grasp in a continuous flow.
Reviewer Profile

5.0

“Statistics for Data Science: A Nice Course”
The quiz was well-structured and relevant to the course content. The questions tested key concepts effectively, and the instructions were clear. Overall, it was a great learning experience, and I appreciate the opportunity to assess my understanding. Looking forward to more engaging quizzes like this!
Reviewer Profile

5.0

“To the Point and Covered the Main Concepts”
I loved learning the content here as it gave me a clear idea of the topics which are important.
Reviewer Profile

5.0

Country Flag South Africa
“Great for Students Who Struggle with Understanding the Core Concepts of Stats”
I liked how well-structured the content was and how well the integration to the next topic was. It was super easy to understand the instructor, very audible too!
Reviewer Profile

5.0

Country Flag Brazil
“Bem Voltado para o Data Science e Menos Matemático”
Bem abrangente para a área e bem explicado pelo professor, facilitando o acompanhamento.
Reviewer Profile

5.0

Country Flag Nigeria
“The In-Depth Explanation of the Course”
The instructor really made the learning easy to follow and also helped in broadening my scope.
Reviewer Profile

4.0

“The Instructor Was Clear and Concise and Laid the Foundation to More Complex Applications”
I liked the course structure, the instructor's knowledge, and the content.
Reviewer Profile

5.0

“Probability Distribution and Statistics”
Enjoyed the learning experience. Great tutor and amazing explanations.

Our course instructor

instructor img

Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

Data Science Expert

learner icon
1M+ Learners
video icon
36 Courses
Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What prerequisites are required to learn this Statistics for Data Science course?

The free Statistics for Data Science course doesn’t require any prerequisites. Anyone can take this course and learn from it without prior knowledge. 
 

How long does it take to complete this free Statistics for Data Science course?

The course contains one hour of video content you can finish at your convenience. Great Learning Academy courses are self-paced and can be finished whenever you get time. 

Will I have lifetime access to the free course?

Yes, the free course comes with lifetime access. Any learner who wants to brush up on their skills can revisit and retake the course. 
 

What are my next learning options after this Statistics for Data Science course?

Enthusiasts of the Data Science field can opt for Great Learning’s professional Master in Data Science course covering all the essential skills to build a promising career. 

Is it worth learning Statistics for Data Science?

Yes, statistics is an essential part of Data Science. Learners looking to build a solid career in the Machine Learning domain also need an understanding of Statistics. So, it provides great worth learning Statistics for both Data Science and Machine Learning enthusiasts. 
 

What is Statistics in Data Science used for?

Statistics is the core of Data Science, advanced ML algorithms, and Business Intelligence that gather and translate data insights into actionable events. Data Scientists use statistics to analyze data patterns and derive conclusions from them. This provides strategies for businesses to grow in the market. 
 

Why is Statistics for Data Science so popular?

Statistics and probability are prevalent terms in data science as they allow businesses to find loopholes in the system with the help of data and their solutions. That’s why it became essential for data scientists and analysts. 

What jobs demand that you learn Statistics for Data Science?

  • Data Science is the fastest-growing field, and there are several jobs that require learning Statistics concepts for Data Science. Some of these jobs are:
  • Data Administrator
  • Data Engineer
  • Data Scientist
  • ML Engineer
  • Business IT Analyst
  • Data Architect
  • Market Analyst
     

Will I get a certificate after learning the Statistics course for Data Science?

Yes, once you finish the course modules, you can take the quiz that will reward you with a course completion certificate. The certificate showcases your skills in your professional career. 
 

What knowledge and skills will I gain upon completing this free Statistics course for Data Science?

This free course will help you to understand the basic Statistics concepts used in Data Science, including probability, mean, median, standard deviation, normal distribution, hypothesis, Central Limit Theorem, and sampling distribution. The course is beneficial for developing Statistical skills for the learner. 

How much does this Statistics for Data Science free course cost?

The course is entirely free of cost. So any aspirant can enroll in this course and start learning basic statistics concepts in Data Science. 
 

Is there a limit on how many times I can take this Data Science course?

No, the course does not set any limit to learning it. Learning enthusiasts can take this course as many times as they want. Hence, you can revisit the course and start learning again whenever you feel like revising your learnings. 

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, there are several courses that you can enroll yourself in and start learning. You can sign up for multiple courses simultaneously with Great Learning Academy. 
 

Why choose Great Learning Academy for this Statistics for Data Science free course?

Great Learning Academy is a huge platform that provides self-paced courses in various domains. Learners take benefit from these courses in their professional careers. There are more than 5 million learners worldwide who are benefitted from these courses. This Statistics for Data Science course is helpful for enthusiasts looking forward to building a career in the Data domain. This course will help you familiarize yourself with data science's statistics, probability, sampling distribution, Central Limit Theorem, and hypothesis. 

Who is eligible to take this Statistics for Data Science free course Online?

The free course does not require any eligibility to enroll. Hence, any learner intending to learn basic Statistics concepts for Data Science can take the course without any nudge. 
 

What are the steps to enroll in this course?

Follow the steps below to enroll in this course:

1. Visit the Great Learning Academy homepage.

2. Search for the course in ‘Statistics for Data Science course.’

3. Click on the ‘Enroll for Free button.

4. Register with Great Learning Academy to enroll in any course and start learning the course for free.

Subscribe to Academy Pro+ & get exclusive features

$29/month

No credit card required

pro banner image

Learn from 40+ Pro courses

pro banner image

Access 500+ certificates for free

pro banner image

700+ Practice exercises & guided projects

pro banner image

Prep with AI mock interviews & resume builder

img icon FREE
Predict Footballer Transfer Market Value using Data Science
img icon FREE
Exploratory Data Analysis Projects
star   4.5 2K+ learners
2.5 hrs
img icon FREE
Linear Programming for Data Science
star   4.59 12.2K+ learners
3 hrs
img icon FREE
Interview Preparation for Data Science
1.8K+ learners
0.5 hr

Related Data Science Courses

50% Average salary hike
Explore degree and certificate programs from world-class universities that take your career forward.
Personalized Recommendations
checkmark icon
Placement assistance
checkmark icon
Personalized mentorship
checkmark icon
Detailed curriculum
checkmark icon
Learn from world-class faculties

Other Data Science tutorials for you

Enroll For Free