First, let’s understand what is Data analysis and how it works.
What is Data analysis?
Data analysis is like being a detective for numbers. Imagine you have a bunch of clues (data) and you want to uncover secrets from them.
Here’s how it works, step by step:
- Collecting Clues (Data): Think of data as pieces of information collected from different places, like your notes, photos, or even things you’ve heard from friends.
- Organizing the Clues: Sometimes, the data can be messy. It’s like sorting out your toys or clothes. You tidy up the data to make it neat and easy to use.
- Finding Patterns: Pretend you’re doing a puzzle. You look at the pieces and notice they fit together in certain ways. In data analysis, you look at the data and see if there are any patterns or things that seem interesting.
- Guessing What’s Next: Just like guessing what comes next in a story, you use the patterns to make guesses about things that might happen in the future.
- Understanding Your Guesses: Now, you need to understand why your guesses make sense. It’s like explaining your idea to a friend — you need to show how you figured it out.
- Checking Your Guesses: Imagine you’re checking if your answer to a math question is right. In data analysis, you check if your guesses are good and if they match the real world.
- Making Pictures and Stories: You draw pictures or write stories to show others what you found. This helps them understand your detective work with numbers.
- Using Your Discoveries: Just like when you learn something new and use it to play better, people use what you find to make better decisions. Businesses use it to make their products better, and scientists use it to understand the world.
- Learning and Growing: You keep trying to be a better detective. You learn from mistakes and find new ways to uncover even cooler things from data.
- Being Fair and Kind: Just as you treat your friends with kindness, you treat data and the information you find with respect. You make sure it’s safe and doesn’t hurt anyone.
As technology gets better, data analysis helps us understand things and make smarter choices. It’s like being a detective of information, helping us solve all sorts of mysteries!
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Now let’s move to the Best Online Resources to Learn Data Analysis.
Resources to learn Data Analysis
Data Analysis Resources-
1. Become a Data Analyst– Udacity
2. Intro to Data Analysis– (Free Course) Udacity
3. Data Science Specialization– Johns Hopkins University
4. SQL for Data Analysis– (Free Course) Udacity
5. Data Analysis with R– (Free Course) Udacity
6. IBM Data Science Professional Certificate.– IBM
7. Data Analysis and Visualization– (Free Course) Udacity
8. Applied Data Science with Python Specialization– University of Michigan
9. Data Analyst Masters Program– Edureka
Programming language Resources-
1. Python for Everybody — University of Michigan
2. Introduction To Python Programming– Udemy
3. Python Core and Advanced– Udemy
4. Crash Course on Python– Google
5. Python for Absolute Beginners!– Udemy
6. Introduction to Python Programming– Udacity
7. Python 3 Programming Specialization– University of Michigan
8. R Programming — Johns Hopkins University
9. Programming for Data Science with R– Udacity
10. R Programming A-Z™– Udemy
Statistics Resources-
1. Intro to Statistics (Free Course) Udacity
2. Statistics with R Specialization– Duke University
3. Statistics with Python Specialization– University of Michigan
4. Intro to Inferential Statistics– (Free Course) Udacity
5. Intro to Descriptive Statistics– (Free Course) Udacity
6. Data Science: Statistics and Machine Learning Specialization– Johns Hopkins University
7. Basic Statistics– University of Amsterdam
8. Statistical Analysis with R for Public Health Specialization–Imperial College London
9. Business Statistics and Analysis Specialization– Rice University
10. Statistics for Data Science and Business Analysis– Udemy
11. Intro to Statistics– Udacity
Mathematics Resources-
1. Mathematics for Machine Learning Specialization– Imperial College London
2. Mathematics for Data Science Specialization– Coursera
3. Data Science Math Skills– Duke University
4. Intro to Statistics– Udacity
5. Probability — The Science of Uncertainty and Data– MITx
6. Basic Statistics– University of Amsterdam
7. Probabilistic Graphical Models Specialization– Stanford University
8. Introduction to Calculus– The University of Sydney
9. Probability and Statistics– University of London
Data Wrangling Resources-
1. Learn SQL– Udacity
2. Excel to MySQL: Analytic Techniques for Business Specialization– Duke University
3. Learn SQL Basics for Data Science Specialization– University of California, Davis
4. Databases and SQL for Data Science– IBM
5. Modern Big Data Analysis with SQL Specialization– Cloudera
6. Introduction to Structured Query Language (SQL)– University of Michigan
7. Data Warehousing for Business Intelligence Specialization– University of Colorado System
8. SQL Essentials Training & Certification- Edureka
9. The Complete SQL Bootcamp 2024– Udemy
10. SQL — MySQL for Data Analytics and Business Intelligence- Udemy
Data visualization Resources-
1. Data Visualization with Tableau Specialization– University of California, Davis
2. Data Visualization with Advanced Excel– PwC
3. Data Visualization in Tableau– Udacity
4. Information Visualization Specialization– New York University
5. Data Visualization with Python– IBM
6. Data Visualization and Communication with Tableau– Duke University
7. Data Visualization– Coursera
8. Tableau 2024 Certified Associate Exam Guide A-Z (w Datasets)– Udemy
9. Complete Tableau 2024 Training for Absolute Beginners– Udemy
Machine Learning Resources-
1. Become a Machine Learning Engineer (Udacity)
2. Machine Learning– Stanford University
3. Machine Learning with Python– IBM
4. Intro to Machine Learning with TensorFlow (Udacity)
5. Machine Learning A-Z™: Hands-On Python & R In Data Science -Udemy
6. Python for Data Science and Machine Learning Bootcamp– Udemy
7. Advanced Machine Learning Specialization– Coursera
And here the list ends. I hope these resources will definitely help you to learn and master data analysis.
Happy Learning!
Check-> Best Online Resources to Learn Data Analysis-(Courses, Books, YouTube, etc)
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
