- What Online Courses Wouldn’t Teach You
- Free tutorial
- Rating: 4.2 out of 54.2 (148 ratings)
- 3,560 students
- 30min of on-demand video
- Created by Olanrewaju Oyinbooke
English
What you’ll learn
- Understand What to Consider before starting as a beginner
- Know Where to Find Dataset for your personal projects
- Identify the Courses You need to take as a Beginner
- What Mentors will Tell You
Requirements
- No prior knowledge is required for this course
Description
There are lots of resources online today for learning Data Analysis but we lack mentorship resources that can help beginners and intermediate learners start the right way.
I have been through the pain as a self-taught data analyst, scientist, and data management specialist. I have mentored and still mentor a lot of people today on careers in Data Analysis, Data Science, and Data Management.
This course is a compression of lots of experiences and advice that I believe every beginner should know before starting out in the field of data analysis, data science, and data management and governance.
It is always advised that you take this course very seriously and take all the assignments and tasks. The course will enrich your mind beyond the scope of the available resources out there today.
I made this for free because I am passionate about raising skilled analysts that can address the transformation need of Africa and the world entirely.
The data gap is getting wider, we need enough skilled means to mine the heart of data and bring out its intent.
I look forward to releasing another free and short mentorship guide like this and I will encourage you should rate this course if you truly found value in it.
During this course, you will find out how to connect with me and I will be more than willing to support you in your learning journey. I am also aware that the course does not address all concerns and mentorship needs, so feel free to engage in the discussion section and let’s co-learn and co-share together.
The future is of abundance and only those who can acquire and master the right skill will benefit greatly.
Don’t just take this course, I will encourage you to share it with your friends and recommend it. they will appreciate you for doing so.
Who this course is for:
- Student considering learning data analysis
- Professionals learning data analysis
- If you considering a career switch to Data Analysis
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Course content
5 sections • 14 lectures • 30m total lengthCollapse all sections
Introduction1 lecture • 2min
- Introduction01:48
Before You Start1 lecture • 1min
- Get the Best Value from This01:06
Mentorship Digest5 lectures • 14min
- Start With Business Value05:32
- Search For Value Driven Projects in Your Sector of Interest01:51
- Search for The Tools02:03
- Use Google, Ask Questions01:32
- Personal Projects and Documentation02:34
Where to Get Data for Your Personal Projects5 lectures • 9min
- How and Where to Get Data for Project00:46
- How to Get Data from Kaggle01:57
- How to Get Data from UCI Machine Learning Repository01:56
- How to Get Data from OpenML Datasets Repository01:32
- How to Get Data from Dataflair Blog Dataset02:19
This is the Beginning2 lectures • 6min
- What Course Should You Take01:13
- More Details on Courses to Take04:17
