About Lesson
- Understanding the role of data science in decision-making.
- Overview of data science lifecycle and methodologies.
- Setting up the data science environment.
Module 1
Understanding the role of data science in today's world.
Exploring the data science workflow and methodologies.
Introducing key data science tools and languages.
0/1
Module 2
Collecting data from various sources, including APIs and databases.
Cleaning and transforming raw data for analysis.
Handling missing data and outliers effectively.
0/1
Module 3
Performing comprehensive exploratory data analysis.
Visualizing data with libraries like Matplotlib and Seaborn.
Extracting insights and patterns from data.
0/1
Module 4
Creating informative and interactive data visualizations.
Building reports and dashboards for data-driven storytelling.
Communicating data insights effectively.
0/1
Module 5
Introduction to machine learning concepts and algorithms.
Supervised learning, unsupervised learning, and reinforcement learning.
Model selection, training, and evaluation.
0/1