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Data Analysis and Visualisation
Introduction to Python for Data Science
Introduction to Python for Data Science
Curriculum
7 Sections
14 Lessons
8 Weeks
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Module 1: Introduction to Python Programming
3
1.0
Lesson 1: Python Basics
30 Minutes
1.1
Lesson 2: Operators, Control Flow, and Functions
30 Minutes
1.2
Quiz 1: Introduction to Python Programming
30 Minutes
20 Questions
Module 2: Data Structures in Python
3
2.0
Lesson 1: Lists, Tuples, and Sets
30 Minutes
2.1
Lesson 2: Dictionaries and Strings
30 Minutes
2.2
Quiz 2: Data Structures in Python
30 Minutes
20 Questions
Module 3: Introduction to NumPy
3
3.0
Lesson 1: NumPy Arrays and Operations
30 Minutes
3.1
Lesson 2: Advanced NumPy Techniques
30 Minutes
3.2
Quiz 3: Introduction to NumPy
30 Minutes
20 Questions
Module 4: Data Manipulation with Pandas
3
4.0
Lesson 1: Introduction to Pandas Series and DataFrames
30 Minutes
4.1
Lesson 2: Data Cleaning and Preprocessing
60 Minutes
4.2
Quiz 4: Data Manipulation with Pandas
30 Minutes
20 Questions
Module 5: Data Visualization with Matplotlib
3
5.0
Lesson 1: Basic Plotting with Matplotlib
30 Minutes
5.1
Lesson 2: Advanced Visualization Techniques
30 Minutes
5.2
Quiz 5: Data Visualization with Matplotlib
30 Minutes
20 Questions
Module 6: Exploratory Data Analysis (EDA)
3
6.0
Lesson 1: Introduction to EDA
30 Minutes
6.1
Lesson 2: Visualizing Data for EDA
30 Minutes
6.2
Quiz 6: Exploratory Data Analysis (EDA)
30 Minutes
20 Questions
Module 7: Basic Statistics for Data Science and Introduction to Machine Learning
3
7.0
Lesson 1: Descriptive and Inferential Statistics
30 Minutes
7.1
Lesson 2: Introduction to Machine Learning
60 Minutes
7.2
Quiz 7: Basic Statistics for Data Science and Introduction to Machine Learning
30 Minutes
20 Questions
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