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Applied Data Science with Python
₹10,000.00
Course content
118h
Week 1: Introduction to Python and Data Science
Overview of Python programming language
Overview of Python programming language
Installing Python and data science libraries (NumPy, Pandas, Matplotlib, etc.)
Installing Python and data science libraries (NumPy, Pandas, Matplotlib, etc.)
Basic data types, control structures, and functions in Python
Basic data types, control structures, and functions in Python
Introduction to Jupyter notebooks and Google Colab
Introduction to Jupyter notebooks and Google Colab
Week 2: Data Cleaning and Preparation
Week 3: Exploratory Data Analysis (EDA)
Week 4: Data Wrangling and Feature Engineering
Week 5: Supervised Learning Algorithms
Week 6: Unsupervised Learning Algorithms
Week 7: Advanced Topics in Data Science
Week 8-12: Capstone Project
About Course
Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
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