IBM Data Analyst Capstone Project

This course is part of IBM Data Analyst Professional Certificate

Instructors: Rav Ahuja +2 more

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What you'll learn

  •   Apply techniques to gather and wrangle data from multiple sources.
  •   Analyze data to identify patterns, trends, and insights through exploratory techniques.
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  •   Create visual representations of data using Python libraries to communicate findings effectively.
  •   Construct interactive dashboards with BI tools to present and explore data dynamically.
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    • Skills you'll gain

  •   Data Manipulation
  •   Statistical Analysis
  •   Web Scraping
  •   Scatter Plots
  •   Data Storytelling
  •   Data Presentation
  •   Box Plots
  •   IBM Cognos Analytics
  •   Data Analysis
  •   Histogram
  •   Data Wrangling
  •   Dashboard
  •   Data Cleansing
  •   Exploratory Data Analysis
  •   Pandas (Python Package)
  •   Data Collection

    • There are 6 modules in this course

    Throughout the project, you will demonstrate your proficiency in tools such as Jupyter Notebooks, SQL, Relational Databases (RDBMS), and Business Intelligence (BI) tools like IBM Cognos Analytics. You will also apply Python libraries, including Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, and Seaborn. We recommend completing the previous courses in the Professional Certificate before starting this capstone project, as it integrates all key concepts and techniques into a single, real-world scenario.

    Data Wrangling

    Exploratory Data Analysis

    Data Visualization

    Building A Dashboard

    Final Assignment: Present Your Findings

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