The document is a career guide for aspiring data scientists, highlighting the growing demand for the profession due to increasing data volumes. It outlines essential skills, including both technical (machine learning, programming) and non-technical (communication, problem-solving), as well as various industries where data scientists work. It provides a roadmap for starting a career in data science, including educational resources, specialization, portfolio building, and networking.

1. How to start a career in Data
Science?
A Complete career guide to Data Science

2. Introduction
Data Science is a field that is growing very
fast. It has various tools and techniques to
analyze data sets. As the amount of data is
increasing every day, the demand for data
scientist is also growing.
In this presentation we will look at some
different aspects of data science that you
should know before starting your career.

3. Table of Content
➔ What do data scientists do?
➔ Skills required for data scientists
➔ Different types of data science industries
➔ The complete path to a data scientist’s successful career

4. What do Data Scientists do?
● Data Cleaning and Preprocessing
● Data Analysis
● Data Visualization
● Model Building
● Communicating Results
● Data Management

5. Skills Required
Technical Skills:
● Machine Learning
● Deep Learning
● Data Visualization
● Statistics, Mathematics &
Probability
● Programming
● Big Data Process
● Ability to manage unstructured data
● Data Wrangling
● Cloud Computing
Non-technical Skills:
● Communication Skills
● Curiosity
● Problem-solving Skills
● Critical Thinking
● Teamwork
● Business Acumen

6. Different types of data science
industries
● Healthcare
● Finance
● Marketing
● E-commerce
● Energy and Utilities
● Transportation and
Logistics
● Manufacturing
● Education

7. The Complete
Path to a Data
Scientist’s
successful
career

8. 1. Learn the basics of
Data Science
2. Mathematics and
Statistics
3. Practice on Real-
world Data
Tip for Best
Institutes
● Jeetech Academy
● Techstack
● Simplilearn etc.
01

9. 4. Choose
specialization
5. Build a portfolio
6. Build Network
7. Apply for jobs

10. How to start a career in Data
Science?

11. Thank You!!