What you'll learn
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.
This course is a complete guide to practical data science using Python. This course covers all the aspects of practical data science and if you take this course alone, you can do away with taking other courses or buying books on Python-based data science.
In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level!
LIVE COURSE - BATCH STARTING FROM 12th SEPTEMBER 2020
Who this course is for:
Data analysts and business analysts
People Looking To Work With Real Life Data In Python
Anyone Looking To Become Proficient In Exploratory Data Analysis, Statistical Modelling & Visualizations Using Python
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