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Data Science Hands On (PowerBI, SQL, Tableau, Spark, Python) (Udemy.com)

Delve Into Hands-On Data Science: Build 5 Unique Projects Using Python, SQL, Spark, PowerBI, & Tableau.

Created by: Ben Sullins

Last updated May 2023

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What you will learn

  • Master PowerBI & Tableau to build interactive dashboards that effectively communicate data-driven insights.
  • Develop a solid understanding of SQL, the bedrock of data manipulation and querying, enabling you to analyze complex datasets with ease.
  • Dive into Apache Spark's distributed computing system to process and analyze large-scale data, and construct efficient data pipelines.
  • Get hands-on with Python, learning to load, clean, analyze, & visualize data using Jupyter Notebooks, a tool cherished by data science professionals worldwide.
  • Apply your skills to real-world projects, reinforcing your understanding and preparing you to tackle data science challenges in your career or future studies.

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating4.5 out of 5higher than 46% of them
  • Reviews132#389 of 462 by number of reviews
  • Length8 hoursshorter than 52% of them
  • Last updatedMay 2023earlier than 83% of them

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Course Description

Unlock your potential with the power of data. Welcome to Data Science Hands On, your one-stop-shop to master the world of Data Science. Dive deep into the core concepts and tools that will empower you to interpret, analyze, and leverage data in a meaningful way.

Our expert-led, comprehensive online course caters to both beginners and experienced professionals, covering the most sought-after skills in the data industry - SQL, Spark, Tableau, PowerBI, and Python.


  1. PowerBI: Learn how to create interactive and visually appealing dashboards using PowerBI. You will explore data visualization techniques, build compelling reports, and leverage advanced features to effectively communicate data-driven insights.

  2. Tableau: Dive into the world of Tableau and master the art of data visualization. Discover how to transform raw data into compelling visual representations, build interactive dashboards, and utilize Tableau's extensive set of tools to analyze and present data in an intuitive manner.

  3. SQL: Develop a strong foundation in SQL (Structured Query Language), the standard language for managing and querying relational databases. Learn how to retrieve, manipulate, and analyze data efficiently using SQL commands, and gain valuable skills for data extraction and data manipulation tasks.

  4. Python: Explore the versatile programming language, Python, which is widely used in data science. From data manipulation and cleaning to statistical analysis and machine learning, you will learn how to leverage Python's extensive libraries and frameworks to work with data effectively.

  5. Spark: Discover Apache Spark, a powerful open-source distributed computing system designed for big data processing. You will understand the fundamental concepts of Spark, explore its ecosystem, and learn how to leverage its capabilities to process large-scale data, perform advanced analytics, and build scalable data pipelines.

This course goes beyond the theoretical, focusing on practical, hands-on exercises and real-world applications of these tools. By the end of this course, you will have a comprehensive understanding of the entire data science process, and you'll be ready to apply your new skills to start solving real-world problems.

Whether you're looking to advance your career, kickstart a new one, or simply eager to unravel the mysteries hidden within data, Data Science Hands On will guide you every step of the way. We provide lifetime access to all course materials, regular updates as technologies evolve, and a supportive online community to foster your learning journey.

Join the "Data Science Hands On" online course today, and start your journey towards becoming a Data Science expert. The world of data is at your fingertips!

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Instructor Details

Ben Sullins

As a life-long data geek, Ben dedicates his time helping others use data wisely. He makes information meaningful and has fun doing it.


His background affords him a unique set of knowledge that sets him apart in the data community. Since the late 90's Ben has consulted many high-tech companies including Facebook, Microsoft, LinkedIn, Cisco, Mozilla, Pluralsight, and Genentech on democratizing data in their organizations. Moreover, Ben spent three months leading the charge at Facebook to grow its data culture by demonstrating proper tool implementation and data visualization techniques using Tableau. And with this expertise, Ben aims to help you learn all the skills necessary to make an impact on your business or organization.

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Reviews

4.5

132 ratings on Udemy

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By Renee Harris on 1/25/2025

He explains it well.

By Bello Peter A. Daniel on 9/21/2024

IT SHOW HOW IMPORTANT THE WORLD NEEDS DATA SCIENCE AND HOW ONE CAN POSITION IT SELF TO KEY IN

By Muhammad Faheem on 12/12/2023

So far, so good. Clear an up to the point!

By Madiz Texidor on 11/27/2023

This was a really great intro into Data Analytics. It was fast paced and really tried to encompass all that is data analysis and its many tools. It gave me a good overall idea and I realized that I may want to try more in depth courses on specific tools later on and also which ones I didn't want to continue so it helped me decide the best course for me.

By Tumelo Mabangula on 7/27/2023

So far so good, good explanations and illustrations

By Mzwandile SHABANGU on 7/20/2023

Defiitely what I signed up for

Showing all 6 reviews on CourseDuck

Read all 132 reviews on Udemy

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Quality Score

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Overall Score : 90 / 100