EP34: Top Online Courses and Tutorials for Aspiring Analysts || Being An Analyst

Hi Fellow Analysts
Do you want to embark on a journey to enhance your analytical skills? Dive into the world of data analysis with our curated list of top online courses and tutorials designed especially for beginners. In this episode, we explore the essential tools and techniques that will equip you with the expertise to thrive in the field of data analytics.

1.
IBM Introduction to Data Analytics on Coursera:
Gain a solid understanding of data analytics and its applications. Learn to differentiate between various data roles and describe the data analysis process.


2.
Google Data Analytics on Coursera:
Immerse yourself in the practices and processes used by junior data analysts. Master key analytical skills and tools, and visualize data for effective decision-making.


3.
IBM Data Analysis with Python on Coursera:
Dive into Python-based data analysis techniques. Develop skills in data cleaning, exploratory data analysis, and building regression models for prediction.


4.
Introduction to Data Analysis using Microsoft Excel (Guided Project) on Coursera:
Enhance your data analysis abilities using Excel with concise modules covering spreadsheet functions, filtering, pivot tables, and advanced graphing.


5.
Business Analytics with Excel: Elementary to Advanced by Johns Hopkins University:
Covering Excel-based business analytics from basic to advanced levels, this course includes modules on what-if analysis, decision analysis, and linear programming.


6.
Data Analysis with R Programming (Google) on Coursera:
Explore the R programming language for data analysis tasks, including generating visualizations and formatting content using R Markdown.


While these courses provide a solid foundation, remember that practice and real-world application are key. Consider working on projects, participating in hackathons, and collaborating with other analysts to hone your skills further. Join us as we embark on this journey of continuous learning and discovery. Happy learning!
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