Course curriculum

    1. 1. Mastering Anaconda_ A Step-by-Step Guide to Installation and Configuration

      FREE PREVIEW
    2. 2. Exploring the Power of Python_ A Comprehensive Overview and Practical Guide

    1. 1. Comprehensive Overview of Exploratory Data Analysis

      FREE PREVIEW
    2. 2. Mastering Data Validation Techniques with Python

    3. 3. Mastering Data Summarization Techniques with Python

    4. 4. Strategies for Handling Missing Data

    5. 5. Exploring Categorical Data Analysis in Python

    6. 6. Exploring Numeric Data in Python

    7. 7. Navigating Outliers_ Strategies for Effective Data Analysis

    8. 8. Exploring Patterns Over Time_ Analyzing Divorce Filings Data

    9. 9. Exploring Relationships_ Understanding Correlation in Data Analysis

    10. 10. Exploring Factor Relationships and Distributions

    11. 11. Exploring Categorical Data_ From Frequencies to Representation

    12. 12. Navigating Data Science_ The Art of Hypothesis Generation

    1. Special Gift for You

About this course

  • $9.00
  • 16 lessons
  • 2.5 hours of video content

Reference, Rating, and Feedback

Intended learners

What will you learn in the course?

  • Comprehensive Overview of Exploratory Data Analysis

  • Data Validation Techniques

  • Data Summarization Techniques

  • Handling Missing Data

  • Categorical Data Analysis

  • Numeric Data Analysis

  • Temporal Data Analysis

  • Understanding Correlation

  • Exploring Factor Relationships and Distributions

  • Hypothesis Generation

Instructor(s)

Instructor Bio:

I'm a seasoned author deeply passionate about data strategy and management. With over 15 years in IT, spanning banking, insurance, and retail, I've held key roles such as Data Division Director and Chief Data Officer. Currently, as Director of Data Division, I shape data initiatives, while as a Governance & Analytics expert, I establish robust frameworks. Through my writing, I share practical strategies and insights honed from diverse industry experience.

Dien Pham Cong

Chief Data Officer

Instructor(s)

Instructor Bio:

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