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Learn Data Analysis In 3 Weeks: Join The Challenge

There is no doubt that learning an in-demand tech skill is among the fastest ways for anyone to overcome poverty today. And, it is not hard to understand why...

See Why👇

In-demand skills are so called because the demand for them is currently higher than the supply. Therefore, learning one of these skills, you instantly become the kind of person that wealthy business owners and top companies across the world are looking for even as you are reading this. 

Thus, not only that learning any of these skills makes it extremely easy for you to find a job, you are also highly respected while getting well-paid.


Because of how much they need people with these skills, the numerous companies seeking to fill these roles care less about your certificate or resume. Instead, what they mostly want from you is to demonstrate your ability to fill the respective roles effectively.

As Forbes Contributor Rachel Wells wrote in June 2024, "to be able to make the case for remote work to your employer, or even to secure a remote role at a remote-first or flexible working company, you need to be able to demonstrate that you have the necessary skills".

So, Here's An Opportunity To Learn An In-demand Tech Skill Much More Easily And Faster: Join Our Challenge

Today's economy is hugely data-driven. So, it is not difficult to see why data skills continue to top the lists of in-demand tech skills (as you can see on the infographic above).

As Upwork also testifies, data analysts are currently paid between $20 and $50 per hour...

At the current rates, this amounts to an hourly minimum wage of over Thirty-one Thousand Naira ₦31,000).

So, in partnership with Oremus International, we have launched a program where we teach people data analysis in 3 weeks (taught in an extremely simplified manner as if the attendees are in elementary school. However, this means that the 3 weeks are fully occupied. It's why we call it a challenge).

Learn Data Analysis In 3 Weeks Challenge

Learning data analysis in 3 weeks is a challenging task, no doubt. But it's achievable with focus, dedication, and a strategic approach. Here's such a strategic approach to help you get started:

Week 1: Foundations and Basics

  1. Introduction to Data Analysis: Understand the basics of data analysis, its importance, and applications.
  2. Statistics and Math: Refresh your knowledge of statistical concepts, such as mean, median, mode, and standard deviation.
  3. Excel or Google Sheets: Familiarize yourself with Excel or Google Sheets, focusing on data manipulation, filtering, and visualization.
  4. Data Visualization: Learn basic data visualization concepts, including charts, graphs, and tables.


Week 2: Data Analysis Tools and Techniques

  1. Python or R Programming: Choose one programming language and learn its basics, focusing on data analysis libraries like Pandas, NumPy, or dplyr.
  2. Data Cleaning and Preprocessing: Learn techniques for handling missing data, data normalization, and data transformation.
  3. Data Visualization Tools: Explore data visualization tools like Tableau, Power BI, or D3.js.
  4. Machine Learning Basics: Get an introduction to machine learning concepts, such as supervised and unsupervised learning.


Week 3: Practice and Application

  1. Work on Projects: Apply your knowledge by working on real-world projects or datasets, such as Kaggle competitions or UCI Machine Learning Repository.
  2. Case Studies and Examples: Analyze case studies and examples of data analysis in various industries, such as finance, healthcare, or marketing.
  3. Advanced Topics: Explore advanced topics, like data mining, text analysis, or time series analysis.
  4. Review and Practice: Review what you've learned. Then, commit to practicing data analysis techniques regularly.

NOTE: Learning data analysis in 3 weeks is just the beginning. Continuous practice, learning, and application will help you become proficient in data analysis afterwards.

Therefore, here are additional tips to help you...

  1. Join Online Communities: Participate in online forums, like Kaggle, Reddit (r/dataanalysis), or Stack Overflow, to connect with others and get help. You can also join Facebook or LinkedIn groups related to data analysis or data skills generally.
  2. Stay Updated: Stay updated with industry trends and best practices by reading news, blogs and watching YouTube and other videos on data analysis.
  3. Network: Connect with professionals in the field and attend webinars or meetups to learn from their experiences.
  4. Take Up Tasks: You can start by volunteering for firms that need data analysts. This will enable you to acquire valuable hands-on experiences while marketing your new hot-cake skill. As you get more confident in handling real-world tasks, you can start applying for paid gigs.

More details on all these points and more will be shared at our next data analysis boot camp where we follow the above outline to teach you data analysis using a highly simplified approach. If you want to join us, email awakedigest@gmail.com using the subject line: I WANT TO JOIN YOUR DATA ANALYSIS BOOT CAMP. In the body of the email, tell us your country of residence, the 3 hours you want to devote to this everyday for 3 weeks, and your current job role.

Example, 

Country of Residence: Nigeria. 

Time available daily: 5pm to 8pm

Current Job Role: Receptionist.

To get faster response, please, make it as simple as possible.

NOTE: By sending this email, you are submitting to our screening process. We want only serious people to participate in our boot camps and so, only those who scale through our screening process will be given access. Thanks 



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