Statistics for Data Science Full Course | Probability and Statistics for Engineers | Great Learning

If you want to foray into the world of data science, you need to have good command over statistics. Statistical knowledge helps us use the proper methods to collect the data, employ the correct analysis, and effectively present the results. Statistics is a crucial process for making discoveries in science, make decisions based on data and making predictions.

Great Learning brings you this 12-hour intensive course on “Statistics for Data Science” which will help you to comprehensively learn all the basic and advanced topics essential in Statistics for Data Science. This in-depth course starts from a complete beginner perspective and introduces you to the various facets of statistics and concepts required to solve data science problems. You will learn how to apply these concepts to business problems. This course is taught by Dr. Abhinanda Sarkar, a PhD in Statistics from Stanford University.

🏁 Topics Covered:
0:00 - Introduction to Course
1:18 - Agenda
2:56 - Introduction to Statistics
1:02:00 - Standard Deviation
2:45:00 - Correlation and Covariation
4:27:00 - Introduction to Probability
5:21:00 - Hypothesis Testing
6:31:00 - Marginal and Conditional Probability
7:17:00 - Normal Distribution
8:45:00 - Linear Regression

🔥Check Our Free Courses with free certificate:

⚡ About Great Learning:
With more than 5.4 Million+ learners in 170+ countries, Great Learning, a part of the BYJU'S group, is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data and business domains. These programs are developed in collaboration with the top institutions like Stanford Executive Education, MIT Professional Education, The University of Texas at Austin, NUS, IIT Madras, IIT Bombay & more.

SOCIAL MEDIA LINKS:

🔹 For more updates on courses and tips follow us on:

[greatlearning]

Topics Covered:
0:00 - Introduction to Course
1:18 - Agenda
2:56 - Introduction to Statistics
1:02:00 - Standard Deviation
2:45:00 - Correlation and Covariation
4:27:00 - Introduction to Probability
5:21:00 - Hypothesis Testing
6:31:00 - Marginal and Conditional Probability
7:17:00 - Normal Distribution
8:45:00 - Linear Regression

[swatswapnil]

Somehow I am more comfortable with Indian professors than that with others. Great contain delivered by highly experienced professors.

[frankd]

One of the problem of this age of free information....is focus.

[niteshkumar]

Indian Professors always makes things easier to understand atleast my experience is that, loved the way he teaches

[shaquibrahman]

Need more topics to cover by this amazing professor.

[PrashantParikh]

Both professors are exceptionally gifted at understanding and communicating this beautiful subject.

[suchithshetty]

Excellent material for simple understanding of the basic concepts! Thank you for sharing this material and making it available for free!!

[mohinikadasi]

I have done ML course from UpGrad but now when I see these videos they are amazing. The professors had made it so easy to understand. I regret why I didn't join Great Learning instead. Anyways thanks for sharing these videos. Please do share more videos. Great Learning really have great professors. Also if there is any short term courses of 1-2 month which explain all these things in one place it would be great.

[Saif-erhf]

It's a great start to Data Science, Thank you

[monikadwivedi]

thank you great learning for providing this course free of cost !

[sirajahmad]

Such a great teaching style with practical knowledge of industry, statistics and programming. By combining all these surely we are going to delighted.
Thank you great learning for uploading such great content.

[gssmytube]

Prof Abhinandan sir its great challenge to teach statistics but teaching effective statistics is more challenge you are master I have learned so many things from your session and thank you so much

[dark_knight]

What an explanation. Excellent. Hats off to both the professors.

[rafiahamedl]

excellent coaching, the tutor is you for this course

[poojamehta]

Incase anyone needs to know the book name it is Business statistics A first course by Pearson Education.

[AkankshaGupta-znhe]

Finally! No stats nightmare haunting me! Thank you very much for this exceptional lecture 🙏

[khachinboonshup]

Amazing Vision about Education, Thank you

[Srihari.]

very good lecture explained whole stats and its efficient to understand.

[palak]

I don't understand why Question #2 needs such a long discussion and lengthy way to solve it. It is clearly set of 2 joint events with OR statement which means just P(AUB)= P(A)+P(B)- P(A∩B). 400/600+100/600-60/600. One just need to understand basic concepts of set theory, search for sample space then search for events, check for their conditional nature if any and then boom. Time 6:45:44

[yashbathe]

Did something go wrong at 4:25:05 ? Suddenly a different module started.