HomeData Science with Python - Course 2 & 3
Data Science with Python - Course 2 & 3
Data Science with Python - Course 2 & 3

Data Science with Python - Course 2 & 3

 
₹3,998
Product Description

COURSE 2

Aspire to become a Data Scientist?
Plan for a career switch or wish to build a career that gives you job security?
Longing to become a non-replaceable/high-profile/highly-paid employee in your organization?

Upskill yourself by joining Dr. Haleema's Live Courses under Python for Data Science series. Python for Data Science Series by Dr. Haleema

Live Course 2: Data Handling and Data Visualizations in Python

Course Duration: 5 hours Additional Revision / Tutorial Session: 1 hour Course Fee: INR 999/- Class Timings: Saturday, Monday and Tuesday - 9 to 11pm IST

Topics Covered:  Introduction to Numpy Arrays, Creating Vectors, Matrices and Tensors and Accessing the Individual Elements, Saving and Loading Numpy Arrays.  Introduction to Pandas, Creating and Accessing Series and DataFrames.  Merge, Join and Concat Operations on DataFrames.  Library Functions in Pandas, Saving and Loading Pandas DataFrames.  Introduction Data Visualizations in Python. The classes will commence from August 29, 2020

Register Now!!!


COURSE 3

Wonder what Artificial Intelligence is all about?
Curious to know how Machine Learning helps to imitate human behavior?
Wish to understand how meaningful insights could be gained from raw data?

Get answers to your intellectual questions on AI and ML by joining Dr. Haleema's Live Courses under Python for Data Science series.

Python for Data Science Series by Dr. Haleema

Live Course 3: Python Libraries for EDA and Data Preprocessing

Course Duration: 5 hours Additional Revision / Tutorial Session: 1 hour Course Fee: INR 999/- Class Timings: Saturday, Monday and Tuesday - 9 PM to 11 pm IST Topics Covered:  Understanding the difference between AI, ML, and DL, Meaning of Data & Data Science, Types of Data, Types of ML Techniques.  Importance of Data Preparation in ML, What is EDA, and Why EDA, Steps in Understanding Data through EDA.  What is Data Preprocessing and Why is it needed, Steps in Data Preprocessing.  Getting our hands dirty with coding.

The classes will commence from September 05, 2020

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