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Statistics For Data Science Course in English
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Hello everyone, Congratulations.
You have completed the statistics for data science course.
It was a long journey of new learnings and a big congratulations again on making it till the end.
There are many benefits of finishing this course.
Like you can become job ready for any statistics or data science related job and the other advantage to do this course is that now you get a certification from NSDC.
If you're looking out for a job currently then you can use this certificate and make your future path easy for yourself.
It will give you a lot of recognition.
After doing this course it will be easy for you to go ahead professionally.
Now you can apply in different job roles, like statistics and data analysts or if you want to become a data scientist, then this can be an important course in your path.
Also, after doing this, you can gain 2 to 15 lakhs package.
As a career option if we see how much ever we want to master the statistics, we can do it.
Statistics, in its self is a very vast field.
If in the long run along with this course if we add Python programming or machine learning skills, we can also become data scientists.
You can learn data science and Python programming courses from our learnvern platform for free and we can even get the certification.
I will recommend that you refer these lectures in the future and create your strong and nice portfolio.
Thank you so much for attending this course.
I really enjoyed this journey.
I hope it was a fun and knowledgeable journey for all of you, thank you so much for watching this video.
If there are any doubts, please click on the Discussion button given below and post your query.
Thank you and all the very best.
This course is really nice, just have one question in empirical rule explanation , SD deviation example trainer is saying mean however mean (20+30+40+50+60+70/6) value is different kindly confirm than
Superb and amazing 😍🤩 enjoyable experience.
wow... Teaching and voice is good
Introduction to Statistics for Data Analysis and Data Science
Getting Started with Statistics
Types of Hypothesis Testing
Fundamentals of Regression Analysis
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