How to Learn Data Analysis Free with Premium Video Course
Download and stream this complete free video course to learn Excel, Python, SQL, Pandas, and more for your Data Analyst journey.
The Complete Data Analyst Course: From Zero to Data Hero! Overview:
Start your data analytics journey with this premium video course, completely free. Learn everything from data fundamentals to advanced data analysis tools without paying a dime. This course takes you from beginner to expert using practical tools like Excel, Python, SQL, and Pandas. It covers real-world applications, ensuring you gain job-ready skills in a structured and accessible way.
By completing this comprehensive course, you will understand how to collect, clean, manipulate, and visualise data using industry-standard tools. This is a complete learning path for aspiring data analysts and professionals switching to a data-driven career. You also get downloadable resources and hands-on projects to build your portfolio and apply your knowledge effectively.
Master data analysis from scratch with this free and complete premium course.
What You’ll Learn in The Complete Data Analyst Course:
- Use Excel for data manipulation and visualisation
- Create PivotTables and PivotCharts for interactive reporting
- Master Python and libraries like Pandas, NumPy, Matplotlib, and Seaborn
- Perform Exploratory Data Analysis (EDA)
- Apply SQL to manage and query databases
- Develop machine learning models using Scikit-Learn
- Build real-world projects and a strong data portfolio
Course Highlights:
- Video Lectures: Over 80 high-quality, step-by-step HD video lessons
- Hands-On Projects: Real-world applications to build your portfolio
- Code Notebooks: Complete code and resources for every lecture
- Theory Notes: Downloadable slides and lecture summaries
- Practice Activities: Coding challenges to reinforce your skills
Course Info:
This course, created by Jenson Berry and hosted on Udemy, equips learners with the most essential and advanced data analysis skills. It covers a wide range of tools such as Excel, Python, Pandas, SQL, Matplotlib, and Seaborn. With 80+ HD videos, hands-on projects, theory notes, and coding challenges, you’ll gain both practical and theoretical understanding. The course supports complete beginners and those transitioning careers by offering a well-organised learning structure. With a file size of 7.66 GB and content released in June 2024, this course offers one of the best free learning resources available for future data analysts.
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