Introduction
I will do through research on expectations of data science learning. I will join Online Data Science communities. I have already joined LUV Tech Academy to help me navigate this.
I will begin with basic mathematics which will include Probability and Statistics as I believe they are applicable in data science. I will then learn Programming languages applicable in data science. E.g. Python, SQL.
Learning Mathematics
I will learn mathematics concepts especially in Statistics, Probabilities, algebra etc. I will use online materials to learn this.
Learn Programming Language – SQL & Python
I will use online learning sites such as W3 School, Udacity, Udemy, Coursera etc to learn SQL and Python. I will also use youtube to enable me to navigate through the learning.
Data Manipulation and Analysis
I plan to learn data manipulation and analysis through MySQL and Anaconda (Jupiter Notebook) for SQl and Python. I will supplement my knowledge through Youtube Content and also following-up with tutors in Luv Tech Academy whenever I get stuck.
Data Cleaning
I understand the importance of data cleaning as preparation for data analysis. I would want to learn how to clean data using different tools that I will research through the internet.
Data Visualization
I intend to learn on data visualization using different tools like Power BI and Matplotlib and other libraries from online sources.
Projects
I will undertake to do real-world project using the Data-camp materials to help me apply learnt knowledge. I believe this will be a good preparation for marketplace.
Upskilling
I understand that becoming a data scientist is a continuous journey that requires consistent learning. I will purpose to enrol for online courses e.g. in Udemy, Coursera etc to enable me practice more and get certifications. I also intend to join Online Data Science Communities for networking and assistance in course of my career.
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