“Data Analysis Diploma” Excel, Power BI, Tableau, SQL, and Python

Data Science Diploma
December 26, 2024

“Data Analysis Diploma” Excel, Power BI, Tableau, SQL, and Python

Course Overview
part 1 - 48 Hour

Data drives decisions in today’s competitive environment, and the Data Analysis Using Excel and Power BI Course empowers you to harness this power effectively. Learn to analyze, visualize, and present data using the familiar functionalities of Excel combined with the advanced tools of Power BI.

Why This Course?

In the era of big data, the ability to translate numbers into actionable insights is a skill every professional needs. This course provides a complete roadmap for excelling in data analytics.

What Will You Learn During the Course?

  • Excel: Master pivot tables, dashboards, and advanced formulas.
  • Power BI: Clean, transform, and visualize data, and publish interactive dashboards.
  • DAX: Write advanced calculations to model and analyze datasets.
  • Storytelling with Data: Craft engaging visualizations that tell compelling stories.
 

 Main Features

  • Real-World Projects: Work on datasets reflecting real-life business challenges.
  • Hands-On Learning: Practical exercises to cement your understanding.
  • Industry Experts: Instructors with years of experience in analytics and visualization.

Part 2 - 28 Hour

The SQL and Python for Data Analysis course equips you with the dual power of SQL for querying and managing databases and Python for advanced data analysis and visualization. Build the skills to analyze, manipulate, and present data effectively using these two essential tools.

Why This Course?

Combining SQL’s database querying capabilities with Python’s analytical strength gives you an edge in today’s data-driven world. This course offers an immersive experience to master both skillsets.

What Will You Learn During the Course?

SQL Fundamentals:

  • Understand relational databases and their structure.
  • Execute DDL commands (Create, Alter, Drop).
  • Utilize DML commands for data manipulation (Insert, Update, Delete).
  • Write advanced queries with joins, unions, subqueries, and window functions.

Python for Data Analysis:

  • Navigate Jupyter Notebooks for interactive programming.
  • Use Pandas and NumPy for data manipulation.
  • Visualize data effectively with Matplotlib and Seaborn.
  • Create and interpret complex plots like violin, scatter, and box plots.

Main Features

  • Hands-On SQL Exercises: Practice advanced querying techniques on real datasets.
  • Interactive Python Sessions: Engage with practical examples for visualization and analysis.
  • Industry-Experienced Trainers: Learn from professionals actively using these tools in the field.

For any inquiries, please contact us via email:
[email protected]
Or WhatsApp:
+201117064587
+201124919154

For any inquiries, please contact us via email:
[email protected]
Or WhatsApp:
+201117064587
+201124919154

Enroll Now

Course Details

  • Level: Begginer

  • Duration: 76 Hour

  • Delivery Method: Online & Offline

    Target Audience

    • Data analysts and business professionals
    • Students aiming to build a career in data analytics
    • Decision-makers looking to improve their data-driven strategies

    Upgrade Your Data Skills

    Sign up today to enhance your skills and take your data analysis to the next level.

    Enroll Now