Data Analysis with Python Skills you will learn

  • Data Cleaning and Preprocessing
  • Data Visualization
  • Predictive Analytics
  • Statistical Analysis
  • Dashboarding and Dashboard Optimization

Who should learn this free Data Analysis with Python course?

  • Data Analyst
  • Data Scientist
  • Business Analyst
  • BI Developer
  • Data Engineer

What you will learn in this Data Analysis with Python course?

  • Data Analytics Projects

    • Introduction

      01:30
      • Introduction
        01:30
    • Lesson 1: Introduction to Tableau Dashboards

      20:23
      • Introduction to Tableau Dashboards
        20:23
    • Lesson 2: Customer Analytics Dashboard using Tableau

      29:26
      • Customer Analytics Dashboard using Tableau
        29:26
    • Lesson 3: HR Data Analytics in Tableau

      42:54
      • HR Data Analytics in Tableau
        42:54
    • Lesson 4: How to Create a Power BI Dashboard

      17:09
      • How to Create a Power BI Dashboard
        17:09
    • Lesson 5: Sales Dashboard in Power BI

      27:23
      • Sales Dashboard in Power BI
        27:23

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Why you should learn Data Analysis with Python?

$303.4 Billion

Expected size of global Data Analytics market by 2030.

$123K+ (USA) | INR 14 LPA

Average Salary of a Data Scientist annually.

About the Course

The Data Analytics Projects Course offers hands-on experience in solving real-world data challenges using industry-relevant tools and techniques. Learn to clean, process, and analyze data while building projects like sales forecasting, customer segmentation, fraud detection, and sentiment analysis. Work with tools like Python, SQL, Tableau, and Excel to master data visualization and predictive modeling. Perfect for aspiring analysts, this course bridges the gap between theoretical knowledge and practical application. Enhance your portfolio with Data Analytics ProjectsRead More

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FAQs

  • What is the Data Analytics Projects course about?

    This course focuses on applying data analytics techniques to real-world projects, covering data cleaning, visualization, statistical analysis, and predictive modeling.

  • Who is this Data Analytics Projects course suitable for?

    It’s ideal for beginners and professionals in data analysis, data science, or business intelligence who want hands-on experience with analytics projects.

  • What kind of projects will I work on?

    Projects include sales forecasting, customer segmentation, sentiment analysis, fraud detection, and dashboard creation.

  • Are there any prerequisites for this Data Analytics Projects course?

    Basic knowledge of Python, Excel, or SQL and foundational understanding of statistics are recommended.

  • What tools and technologies will I learn in this Data Analytics Projects course?

    You’ll use tools like Python, R, Tableau, Power BI, Excel, and SQL, along with libraries like pandas, NumPy, and Matplotlib.

  • Will I use real-world datasets?

    Yes, you’ll work with diverse datasets from industries like retail, finance, healthcare, and social media to solve practical problems.

  • How will this course help my career?

    The course equips you with in-demand data analytics skills, enhancing your employability for roles like Data Analyst, Business Analyst, or BI Developer.

  • Will I receive a certificate upon completing this Data Analytics Projects course?

    Yes, you will receive a certificate after successfully completing the course.

  • Can I showcase these projects in my portfolio?

    Absolutely! These projects can be added to your portfolio to demonstrate your practical expertise in data analytics to potential employers.

  • What industries can I apply these skills to?

    The skills and projects are applicable to industries like finance, marketing, healthcare, e-commerce, and more, where data-driven decision-making is critical.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.