About the course

Description:

An in-depth course covering the fundamentals and advanced concepts of data science. Learn how to collect, clean, analyze, and interpret large datasets to make data-driven decisions.

Key Highlights:

• Learn popular data science tools and techniques
• Apply data visualization and storytelling to communicate insights effectively
• Build machine learning models to solve business problems
• Learn from industry experts and gain practical skills

What you will learn:

• Understanding the Data Science Lifecycle
  Gain an overview of the data science process and learn how to formulate effective research questions.
• Data Preparation and Cleansing Techniques
  Learn how to clean, transform, and wrangle data to ensure its quality and usability for analysis.
• Exploratory Data Analysis (EDA)
  Master the techniques to explore and visualize data to identify patterns, outliers, and relationships.
• Statistical Analysis and Hypothesis Testing
  Understand the principles of statistical analysis and hypothesis testing to make data-driven conclusions.
• Machine Learning Algorithms and Models
  Discover various machine learning algorithms and models to predict outcomes and solve complex problems.
• Data Visualization and Storytelling
  Learn how to create compelling visualizations and effectively communicate insights to different stakeholders.