Data science is now the most lucrative tech field where there is a tremendous gap between demand and supply. No wonder many people are learning data science, and if you are one among them, it is time to know the top seven ways to learn the same and prepare for job interviews. Also, if you have a background in mathematics or computer science, your journey could be easy. 
 
7 Top Ways to Learn Data Science
 
1. Start with the Basics
There is nothing scary about data science. So, first, you have to start with the basics by reading various blogs or articles on data science. You can even go for an introductory class on data science because many data science training institutes now offer it for free. By attending such a class, you can figure out what data science is all about! All these efforts will help you get familiar with the fundamental data science concepts. 
 
2. Learn to code 
Learning data science without knowing how to do coding is not possible. So, start with any popular programming language used for data science. You can opt to learn Python, R-programming, SQL, Java, Julia, Scala, C/C++, JavaScript, Swift, Go, or MATLAB. 
 
3. Know the technical aspects 
Some essential technical concepts you must learn are linear algebra, calculus, probability, statistics, and regression analysis. You may try to understand these concepts all by yourself at home. However, it is wise to join a data science course to master all these within a short period. 
 
4. Get familiarized with tools 
A data scientist had to use plenty of tools for processing, analyzing, and visualizing data. Some of these tools are Github, R packages, Jupyter notebooks, TensorFlow, Tableau, Apache Spark, Hadoop, RapidMiner, Google BigQuery, MySQL, and the StackOverflow. So, get familiarized with these tools. 
 
5. Go deep in technical concepts 
After learning the fundamentals and basic technical concepts, it is time to dive deep and explore topics such as neural networks, deep learning, natural language processing, and more.
 
 
6. Find a community 
Having a strong community of professionals who have the same goal of learning data science can be motivating in the long run. So, visit different online forums and try to find a community. Don’t forget to ask for feedback and advice. They may prove extremely valuable for achieving your goal. 
 
7. Brush up your soft skills 
While it is wise to emphasize technical skills, do not ignore soft skills like empathy, teamwork, problem-solving, and more. As a data scientist, you may need to rely on these skills to get desired results. 
 
Top Ways to Prepare For Job Interviews
 
Once you have successfully learned data science, the day will not be too far when you have to face a job interview, and if you are wondering how to prepare for the same, here are the top 7 ways. 
1. Research the company
2. Tailor your resume as per the company 
3. Review the technical concepts 
4. Go for mock interviews
5. Be honest 
6. Stay calm 
7. Ask questions 
 
So, follow these ways, and you will feel confident enough to crack the interview. 
All the best !!!