and if you need any assistance in Applying we are more than happy to help
I plan to help you learn any digital skill you will love to learn from scratch this month, for free, only using Youtube
Data Analysis 30 Day Challenge
Day 1: Introduction to Data Analysis and Excel Basics
- Watch this video for an overview of data analysis: https://www.youtube.com/watch?v=-ZDu2AIy2lg
- Learn the basics of Excel using this tutorial: https://www.youtube.com/watch?v=Q68i5kwXfjg
Day 2: Introduction to Statistics and Probability
- Watch this video to learn about statistics and probability: https://www.youtube.com/watch?v=2QGwqluP788
- Practice using Excel functions to calculate mean, median, mode, and standard deviation.
Day 3-5: Data Cleaning and Wrangling
- Learn about data cleaning and wrangling using this tutorial: https://www.youtube.com/watch?v=7uX6h-U0dYg
- Practice using Excel to clean and wrangle data.
Day 6-8: Data Visualization
- Watch this video to learn about data visualization: https://www.youtube.com/watch?v=qGGvspW89MU
- Practice creating charts and graphs in Excel.
Day 9-11: Introduction to SQL
- Learn the basics of SQL using this tutorial: https://www.youtube.com/watch?v=HXV3zeQKqGY
- Practice writing basic SQL queries using SQLite or MySQL.
Day 12-15: Introduction to Python for Data Analysis
- Learn the basics of Python for data analysis using this tutorial: https://www.youtube.com/watch?v=0pP4EwWJgIU
- Practice using Pandas library in Python for data manipulation and analysis.
Day 16-18: Statistical Analysis with Python
- Watch this video to learn about statistical analysis with Python: https://www.youtube.com/watch?v=Iq9DzN6mvYA
- Practice conducting statistical analysis using Python.
Day 19-21: Machine Learning Fundamentals
- Learn the basics of machine learning using this tutorial: https://www.youtube.com/watch?v=pqTntG1RXSY
- Practice using scikit-learn library in Python for implementing basic machine learning algorithms.
Day 22-25: Advanced Data Visualization with Python
- Watch this video to learn about advanced data visualization with Python: https://www.youtube.com/watch?v=NBZBStbxuwI
- Practice creating advanced visualizations using Python libraries like Matplotlib and Seaborn.
Day 26-28: Introduction to Big Data and Hadoop
- Learn the basics of Big Data and Hadoop using this tutorial: https://www.youtube.com/watch?v=W-9P-zFPpNU
- Practice using Hadoop Distributed File System (HDFS) and running basic MapReduce jobs.
Day 29-30: Final Project
- Create a data analysis project using the skills learned in the past 28 days.
Day 1: Introduction to Data Analysis and Excel Basics
- Watch this video for an overview of data analysis: https://www.youtube.com/watch?v=-ZDu2AIy2lg
- Learn the basics of Excel using this tutorial: https://www.youtube.com/watch?v=Q68i5kwXfjg
Day 2: Introduction to Statistics and Probability
- Watch this video to learn about statistics and probability: https://www.youtube.com/watch?v=2QGwqluP788
- Practice using Excel functions to calculate mean, median, mode, and standard deviation.
Day 3-5: Data Cleaning and Wrangling
- Learn about data cleaning and wrangling using this tutorial: https://www.youtube.com/watch?v=7uX6h-U0dYg
- Practice using Excel to clean and wrangle data.
Day 6-8: Data Visualization
- Watch this video to learn about data visualization: https://www.youtube.com/watch?v=qGGvspW89MU
- Practice creating charts and graphs in Excel.
Day 9-11: Introduction to SQL
- Learn the basics of SQL using this tutorial: https://www.youtube.com/watch?v=HXV3zeQKqGY
- Practice writing basic SQL queries using SQLite or MySQL.
Day 12-15: Introduction to Python for Data Analysis
- Learn the basics of Python for data analysis using this tutorial: https://www.youtube.com/watch?v=0pP4EwWJgIU
- Practice using Pandas library in Python for data manipulation and analysis.
Day 16-18: Statistical Analysis with Python
- Watch this video to learn about statistical analysis with Python: https://www.youtube.com/watch?v=Iq9DzN6mvYA
- Practice conducting statistical analysis using Python.
Day 19-21: Machine Learning Fundamentals
- Learn the basics of machine learning using this tutorial: https://www.youtube.com/watch?v=pqTntG1RXSY
- Practice using scikit-learn library in Python for implementing basic machine learning algorithms.
Day 22-25: Advanced Data Visualization with Python
- Watch this video to learn about advanced data visualization with Python: https://www.youtube.com/watch?v=NBZBStbxuwI
- Practice creating advanced visualizations using Python libraries like Matplotlib and Seaborn.
Day 26-28: Introduction to Big Data and Hadoop
- Learn the basics of Big Data and Hadoop using this tutorial: https://www.youtube.com/watch?v=W-9P-zFPpNU
- Practice using Hadoop Distributed File System (HDFS) and running basic MapReduce jobs.
Day 29-30: Final Project
- Create a data analysis project using the skills learned in the past 28 days.
So if you are interested, comment what course you are interested in and I will create a curriculum for you