What will be first step to be a data scientist

Question

Starting as a fresher I need to know how should I begin learning to be a data scientist?

Answer 1

Data Science is a vast domain. It requires a mixture of multidisciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. Here’s a little cheat sheet on who the modern Data Scientist really is:

MATH & STATISTICS

1. Machine Learning
2. Statistical Modelling
3. Experimental Design
4. Bayesian Inference
5. Optimization

PROGRAMMING & DATABASE

1. Computer Science fundamentals
2. Scripting Language: Python
3. Statistical Computing Package: R
4. NOSQL and SQL Databases
5. Algebra

DOMAIN KNOWLEDGE AND SOFT SKILLS

1. Passionate about the business
2. Curious about the data
3. Influence without authority
4. Hacker Mindset
5. Problem Solving Techniques

COMMUNICATION AND VISUALIZATION

1. Able to engage with senior management
2. Story telling skills
3. Translate data driven insights into decisions

Answer 2

Your first steps towards becoming a top performer
Your first step towards becoming a top-performing data scientist is mastering the foundations:

• data visualization
• data manipulation
• exploratory data analysis

Have you mastered these? Have you memorized the syntax to accomplish these? Are you “fluent” in the foundations?

If not, you need to go back and practice. Believe me. You’ll thank me later. (You’re welcome.)

The reason is that these skills are used in almost every part of the data science workflow, particularly in earlier parts of your career.

Given almost data task, you’ll almost certainly need to clean your data, visualize it, and do some exploratory data analysis.

Moreover, they are also important as you move into more advanced topics. Do you want to start doing machine learning, artificial intelligence, and deep learning? You had better know how to clean and explore a dataset. If you can’t, you’ll basically be lost.