SQL For Data Science Tutorial | Learn SQL Database For Data Science | Edureka

This Edureka session on SQL for Data Science will help you understand how SQL can be used to store, access and retrieve data to perform data analysis.
Here’s a list of topics covered in this session:

1. Introduction To Data Science
2. Why Is SQL Needed For Data Science?
3. What Is SQL?
4. Basics Of SQL
5. Installing MySQL
6. Hands-On

#Edureka #DataScienceEdureka #sqlfordatascience #datasciencetutorial

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About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:

Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods

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Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

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[vijithbhargavan]

Learnt python for data analysis thanks to edureka, learnt SQL for data analysis thanks to edureka which I previously had zero knowledge on.. Edureka is redefining the way aspiring professionals deserve to get educated..simply amazing!!

[worldinnumbers]

This is why I choose Edureka everytime. Understandable tutorials and Quality content. Thanks for tutorials

[bankimpatel]

The best thing about Edureka is that they make you feel confident. They make you feel you can be the one. They make you feel that it's very much doable. I ma sure a lot of folks out there would surely agree to this.

Thank you so much team. :)

[kiranpradhan]

Zero nonsense. All gold. Such tutorials are very rare in youtube. Thank you 🙏

[nexlugar]

This is the best video on sql ever, such a soothing voice and crystal clear explanation

[DrJklMrHd]

I just went thru SQL on my data science program. Thanks for this video.

[R_Misar]

Wonderful and precisely application-based tutorial Thank You EDUREKA!!

[hassanmirza]

Best video, presenter is really good.

[abdullahateeq]

Best understanding video with good knowledge and good communication.
Thank you

[thecatalyst]

Wonderful, no-nonsense and precisely application-based tutorial, Zulekha! I almost fell for you for providing it with such clarity! Thanks and much respect to you. Wish you all the success!

[badiuddinkhan]

Thank You mam, helpful for basic knowledge..
Appreciate the effort mam..

[kb]

thank you for the content, I really appreciate it!!

[sidjoshi]

Fantastic work guys.. Highly appreciate..

[stillwatersnightsky]

Would you recommend a few tutorials for beginners who want to get into Data science please..this has been fantastic tutorial.. Thank you very much...

[kithostbi]

Hello Ma'am,
Can you please share the link for the dataset?
It is not possible to comment email ids on Youtube. Is there some other way to get the data set?

[deepanshukathuria]

For data science, is this SQL course is sufficient or ur complete SQL course which u posted previously is essential?

[SUNILSeedrala]

Hi zulekha ur aswome. Great explanation. Super.

[oushnik]

Madam can you please share the software download link here.

[chinmaybhat]

Dear Maam,
Can you Share the Dataset link which you have used in this session and set of commands file so that i can practice the same in my system inside MYSQL Workbench ??

Thanks & Regards,
CHINMAY N BHAT

[prachipatel]

Could you please share the dataset file which is used in this video so I can practice.