Question

How to be better in Data Science and Machine Learning?

Answer 1

To master Data Science and Machine Learning requires a lot of skills to learn. 

If we talk about Data Science then you should have knowledge of the following fields so that you become a full-fledged Data Scientist:

1. Data Extraction: This can be done by tools such as Octoparse, import.io, Parsehub, and Mozenda.
2. Open-source tools for Data Analysis: For cleaning, transforming, working with messy data and analysis for it you must have knowledge of R-programming, RapidMiner, OpenRefine, and Knime.
3. Data Visualization: For extracting meaningful insights from Data with the help of Data Visualization you must know either Tableau or Power BI.
4. Mathematics: Statistics is the heart of Data Science. S, you must have knowledge of statistics to perform better in the Data Science field.

If you want to dive deep into the field of Data Science then you must watch this video tutorial on Data Science:

Now comes Machine Learning. The only thing you should focus on here is building Machine Learning models using Machine Learning algorithms and techniques. These techniques come under three categories:

1.Supervised Learning

2.Unsupervised Learning

3.Reinforcement Learning

Machine Learning is a subset of Data Science and even Machine Learning is applied in every possible area that's why people are also eager to have Machine Learning online course!

If you want to learn Machine Learning comprehensively then you must go through this tutorial:

Also, for getting a job as a Data Scientist you should be a professional in Data Science and you need to have a certificate for proving it, so, you should go for Data Scientist to make your career rise to the next level.