Esther Anagu, MBA

Esther Anagu, MBA

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Dive into Data Analytics with these FREE Courses!
 
I found this fantastic article by Arif Alam that lists seven excellent online courses for anyone interested in learning more about data analytics. These are available in levels ranging from basic to intermediate, and guess what? All of them are free!
 
Here are the courses:
 
1. Intro to Data Analysis (Udacity): https://lnkd.in/d7EDVwGs
 
➡️ Throughout this course, you will learn the data analysis process, and the popular Python libraries Pandas and Numpy. Best for beginners.
 
2. SQL for Data Analysis (Udacity): https://lnkd.in/daUDdrvS
 
➡️ This SQL for Data Analysis course is also completely free and teaches SQL for Data Analysis. SQL is used for managing data, and if you want to learn or brush up on your SQL skills, this is the best course. Best For beginners.
 
3. Bayesian Statistics: From Concept to Data Analysis (Coursera): https://lnkd.in/dFjSi6kK
 
➡️This Bayesian Statistics: From Concept to Data Analysis is a Free to Audit course offered by the University of California, but this course is not for beginners, but for intermediates.
 
4. Data Analysis with R (Udacity): https://lnkd.in/d7i4ShJD
 
➡️This Data Analysis with R is an intermediate-level free course to learn data analysis using R programming. I found that Udacity's FREE courses don’t lack in quality compared to other platforms’ free courses. Best for intermediates.
 
5. Exploratory Data Analysis in Python (Coursera): https://lnkd.in/dR8dC3bT
 
➡️ In this Exploratory Data Analysis in Python course, you will get access to its first lesson free of cost. Best for Intermediates.
 
6. Data Analysis and Visualization (Udacity): https://lnkd.in/d34zGvMX
 
➡️This course requires some previous understanding of math and statistics. This course is for intermediates.
 
7. Data Analysis with Python (Coursera): https://rebrand.ly/fa6abb
 
➡️In Python for Data Analysis course, there are 12 lectures. This is not a very detailed course. Best for Beginners.
 
It's a great time to be alive when we have such abundant resources to learn from right at our fingertips. Whether you're just starting out or looking to enhance your skills, there's something here for you.
 
Kudos to Arif Alam for compiling this!
 
#DataAnalytics #ContinuousLearning #OnlineCourses #DataDive #SkillUp #DataScience #FreeEducation #AnalyticsJourney #LearnData #DataCourses #DigitalLearning #DataInsights #TechEducation #DataMastery #SkillDevelopment
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In just 4 minutes, this insightful video will completely change how you work in Excel!

I’ve had the privilege of training professionals across various fields, including customer service, accounting, management, reconciliation, relationship management, and data analytics.

What they all have in common is the desire to automate tasks in Excel, moving away from manual work. Thankfully, I’ve been able to help them achieve this goal each time I train them.

Trust me, this video will be a game-changer for you too. Be sure to check out my previous posts and visit the CheatSheets page for more valuable videos that will boost your productivity.

Share this post with your network. You’ll be doing them a huge favour!
Dear Aspiring Data Professionals,

We are already in the second half of the year. What have you achieved so far?

I know the number of resources out there can be overwhelming, and you might not even know where to start. It's normal to feel this way. That’s why I created a newsletter to empower you with streamlined articles that can address your challenges.

I've written articles on what to do before starting to learn any data tools, answered frequently asked questions by newbies, and shared my experience as a data analyst for two years. Additionally, I've covered the main tools to learn, such as SQL and Excel.

I encourage you to check out the newsletter, and in the comment section, let me know what subject area you'd like me to write about next. https://lnkd.in/ddiTsrk7

Here are other resources to help you on your data journey. Take as many days as needed to grasp each concept thoroughly.

The course is designed to follow the tutorials in the listed order:

1. Understand the Fundamentals
Link: https://lnkd.in/dcdStPmQ

2. Excel Tutorials: https://lnkd.in/dvc6fZFC

3. Basic Statistics Tutorials: https://lnkd.in/dtaGyj7Z

4. SQL Tutorials: https://lnkd.in/epAFJzJB

5. PowerBI Tutorials: https://bit.ly/npowerbi

6. Python Tutorials: https://lnkd.in/eh4gTQQ2

7. Free Virtual Internships:
a. Data Science Role:
https://lnkd.in/dCg7egea
b. Data Visualization:
https://lnkd.in/dWa3Qt9n
c. Data Analysis:
https://lnkd.in/dX6UQ_rD
d. Power BI:
https://lnkd.in/dEwN2qwF

Enhance Your Skills with These Projects:
1a). https://lnkd.in/dsY-5hve
b). Excel Projects: https://lnkd.in/ew5y5KP7
c). Power BI Projects: http://bit.ly/3Xjpn0v
d). SQL Projects: https://lnkd.in/eq9jqcBq
e). Projects: https://lnkd.in/emzcrzTX

2) Build your Portfolio here: https://lnkd.in/d3yb3zXz

Remember, the journey to mastering data analysis or data science is an ongoing process. Be patient with yourself, stay curious, and keep pushing forward. Every step you take brings you closer to your goals. Let's grow and learn together!

#DataScience #DataAnalysis #Excel #SQL #Python #PowerBI
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