
Leverage the power of Generative AI to learn Data Science Course for beginners. PW Skills 6 months online Data Science Program offers a number of perks for new learners as well as seasoned learners who want to build their career in Data Science.
In this blog, we will uncover different perks of the PW Skills data science course for beginners. We will also get to know some of the best data science for beginners free.
Learn data science fundamentals, and advanced data science tools, with in-depth tutorials and hands on training available throughout the course module. Practice the concepts you learn within the course and get to solve real world case scenarios based on module-level assignments.
Learn through live and recorded modules within the course and become a certified data scientist professional with PW Skills. Get industry-recognised certification from PW Skills after completing the course.
|
Data Science Course for Beginners |
|
| Name of the Course | Data Science with Generative AI |
| Provided by | PW Skills |
| Mode | Live + Recorded |
| Duration | 6 months |
| Certification | Yes |
| Capstone Projects | Diverse Project Portfolio + Capstone Projects |
| Curriculum | Industry Oriented Curriculum |
| Tools & Frameworks | Python & PY Libraries, Statistics, Machine Learning, Generative AI, Deep learning, NLP, Power BI, etc. |
This data science course for beginners powers up the aspirant's inner strength and makes them ready for job ready data scientist career.
PW Skills Data Science Certification Course for beginners is a job assistance program that helps beginners unlock the power of Generative AI with Data Science. This course duration is 6 months, with more than 200+ hours of learning. The course is covered in blended mode (Live + Recorded), with 24x7 support throughout the data science course duration.
|
Data Science Course for Beginners |
|
| Topic | Description |
| Python Basics | |
| Advance Python |
|
| Databases and Web API |
|
| Statistics |
|
| Advanced Statistics |
|
| Machine Learning (ML) - 1 |
|
| Feature Engineering |
|
| Exploratory Data Analysis (EDA) |
|
| ML Algorithms |
|
| Deep Learning |
|
|
|
| Natural Language Processing (NLP) |
|
| Generative AI |
|
| Projects |
|