Obinna Iheanachor
Obinna Iheanachor

@DataSenseiObi

13 Tweets 12 reads Jun 30, 2023
Do you want to become a world-class data analyst in just 6 months?
I’ve been there, and I know how overwhelming it can be to learn data analysis from scratch.
That’s why I’ve created a 6-month roadmap of free high-quality resources that will teach you everything you need to know, from statistics and Excel to Python and cloud computing.
In this thread, I’ll share with you my ultimate roadmap and how you can download it for free.
Let’s get started! 👇
First, it’s important to understand the role of a data analyst and determine if it’s a good fit for you.
This article by @careerfoundry is an incredibly valuable resource: careerfoundry.com
If you feel excited about pursuing a data analyst career, then you’re ready for the next step: following my 6-month roadmap of free resources that will teach you everything you need to know.
Month 1: Statistics & Probability
This YouTube playlist by @khanacademy is the perfect resource to learn statistics & probability for data analytics especially if you find these topics intimidating.
PS: You don’t need to watch all the videos. The first 12 should be sufficient to build a solid foundation in Statistics
Link to Playlist: youtube.com
Month 2: Excel
Master Excel with these resources:
→ Basic to Intermediate Excel: youtu.be
→ Detailed Pivot Tables Tutorial: youtu.be
→ Power Excel (Portfolio Project included): youtube.com
Month 3: SQL
→ Learn SQL with @udacity's free course: udacity.com
→ My SQL Course Playlist: youtube.com
→ Take up @DataWithDanny's 8-Week SQL challenge: 8weeksqlchallenge.com
→ SQL Portfolio Project: youtu.be
→Explore more SQL resources: github.com
Month 4: Power BI/Tableau
Resources for Power BI:
→ Power BI Course (Portfolio Projects included): youtube.com
→ Microsoft Learn: learn.microsoft.com
Resources for Tableau:
@udacity's Free Course: udacity.com
→ My Tableau Course Playlist: youtube.com
Storytelling/Presentation:
→ Free Udemy Course: udemy.com
→ Email Etiquette Tips: youtu.be
→ Best Data Storytelling Resources: juiceanalytics.com
Month 5: Python (Optional)
Depending on your industry or organization, you might be required to work with specific tools or software that don't necessarily involve Python hence I’ve marked it as optional.
→ Learn Python with @udacity’s Free Course: udacity.com
→ Detailed YouTube Playlist: youtu.be
→ Explore 50 Python Projects: youtube.com
Month 6: Git + GitHub, Cloud Computing, Agile
Git + GitHub resources
Git and GitHub are essential tools for data analysts because they enable version control, collaboration, and sharing of code and data files.
→ Learn Git + GitHub with @udacity’s YouTube Playlist: youtube.com
→ Build your portfolio with @Alex_TheAnalyst : youtu.be
Cloud Computing Resources:
Cloud computing empowers data analysts to handle large-scale data processing, collaborate effectively, and take advantage of advanced analytics tools and services available on cloud platforms
→ AWS vs GCP vs Azure: youtu.be
→ AWS Learning Plan: explore.skillbuilder.aws
→ Intro to Data Analytics on Azure: learn.microsoft.com
→ Google DA Learning Path: cloudskillsboost.google
→ Free Google BigQuery Sandbox: cloud.google.com
Agile:
Agile methodology helps you deliver value to your stakeholders faster, adapt to changing requirements or feedback, and improve the quality and efficiency of your work
→ Agile Analytics Course: coursera.org
📥 Download the Ultimate Roadmap for Data Analysts here:
wisabi-analytics.ck.page
That's a wrap!
If you liked this thread:
Drop a like, comment & RT to share this with your audience.
And if you want to master the art of:
→ Building a Successful Data Career
→ Building A Stand Out Personal Brand
You know where to find me
@DataSenseiObi

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