How to become a data scientist? Importance in future, career guide, skills required, job requirements, salary.

 

What is data science?

 Data is inter- disciplinary academic field which combines  mathematics , statistics and computer science to analyze data and deriving meaningful insights.it uses specific programming techniques , statistical methods and data visualization tools to derive useful outcome for decision making .

Importance of data science

This field is of great importance for various fields like business, finance, risk management, marketing and sales optimization, market research, healthcare predictive analysis, customer analytics, demand forecasting, supply chain management, quality control, government and public sector policies, precision farming.

Here we will learn how to become data scientist, Data Science Career Opportunities, Skills Required for Data Scientists, Data Science Degree, Data Science Training Programs, Data Science Bootcamps, Data science job requirements, Data Science Salary Expectations.

What is Data scientist ?

Data scientist are professional who use their combined knowledge of mathematics , statistics and computer science to extract, analyze and interpret data and give valuable insights , develop predictions and make data-driven decisions. Data scientist use data analysis techniques like statistical analysis techniques, different software like python and r  ,machine learning ,big data technologies ,data visualization tools to analyse and interpret data and solving complex problems.

2.Data science career opportunities

Data science is a career with broad opportunities world wide. Data science required for  Data scientist jobs in finance and banking, opportunities in healthcare and  Data science skills required for industry jobs. Data science career opportunities are vast and  exciting. The Emerging trends in data science careers are :

Data scientist Roles:

 1. Data Scientist

2. Data Analyst

3. Data Engineer

4. Business Analyst (with a focus on data analysis)

5. Quantitative Analyst

6. Machine Learning Engineer

7. Data Architect

8. Statistician

9. Research Scientist

10. Data Visualization Specialist

 Industries:

 1. Finance and Banking

2. Healthcare and Pharmaceuticals

3. Technology and Software

4. Marketing and Advertising

5. E-commerce and Retail

6. Government and Public Sector

7. Manufacturing and Logistics

8. Energy and Utilities

9. Environmental Science and Conservation

10. Academia and Research

Some emerging areas include:

 1. AI and Machine Learning

2. IoT (Internet of Things)

3. Cloud Computing

4. Cybersecurity

5. Natural Language Processing

6. Computer Vision

7. Robotics

8. Healthcare Analytics

9. Financial Technology (FinTech)

10. Environmental Sustainability

 new roles and industries are emerging as data science continues to evolve, thus data science career path is best path to follow .

skills required for data scientists

skills required for data scientists includes knowledge of mathematics, statistics and computer science like programming languages.

1.   Mathematical skills : linear algebra , calculus, numerical analysis, LPP

2.   Statistical Analysis in Data Science: statistical analysis techniques like data collection, representation, data interpretation are important for decision making. Statistical concepts like probability, statistical methods, inference, quality control and demand analysis , time series are important to understand for the analysis of data and making decisions.

3.   Programming Languages for Data Science : programming languages are Essential skills for data scientists to become a data scientist. Important programming languages for data scientist are

      1.Python for Data Science

    2.R Programming for Data Science

   3. SQL for data science

4.   Data Visualization Tools : data visualization tool like Tableau, Power BI

5.   Big Data Technologies : Hadoop, Spark

6.   Machine learning basics and AI

7.   Data mining and business intelligence

8.   Transferable skills : transferable skills like analysis, communication, organization and attention to details, problem solving ,collaboration, creativity, business knowledge.

Data Science Degree/Data Science Certifications

Formal education , pursuing a degree in computer science, mathematics or statistics is good for Data scientist skills and qualifications. A data science degree provides theoretical knowledge necessary for data science. various data science degrees available are listed below:

1. Bachelor of Science in Data Science (B.S.)

2. Master of Science in Data Science (M.S.)

3. Master of Business Analytics (M.B.A.)

4. Master of Data Science (M.D.S.)

5. M. Tech data science

5. Ph.D. in Data Science

Some popular specializations in Data Science include:

1. Business Analytics

2. Machine Learning Engineering

3. Data Engineering

4. Quantitative Finance

5. Healthcare Analytics

6. Marketing Analytics

7. Environmental Data Science

8. Geospatial Data Science

9. Cybersecurity Data Science

10. Artificial Intelligence

A Data Science degree typically includes coursework in:

1. Programming languages: Python, R, SQL

2. Data structures and algorithms

3. Statistics and probability

4. Machine learning and deep learning

5. Data visualization and communication

6. Data wrangling and preprocessing

7. Big data and NoSQL databases

8. Data mining and business intelligence

9. Computer systems and architecture

10. Mathematics and optimization

Data science university/colleges

Top data science universities in abroad

1.Data science program in USA: Home to top universities like MIT, Harvard, and Carnegie Mellon.

2. Data science courses in UK: University of Oxford and

Imperial College London offer renowned programs.

3.Data science college in Canada: University of Toronto and University of British Columbia are popular choices .

4.data science college in Singapore: National University of Singapore and Nanyang Technological University offer excellent programs.

Data science colleges in India

173 colleges in India offer various Data Analytics programs with Specializations include Big Data & Analytics. Best data science courses in India for placements are :

1.Indian Institute of Technology (IIT), Madras: Offers a Bachelor of Science in Data Science and Applications and a Diploma in Data Science.

2. Indian Institute of Technology (IIT), Delhi: Offers several data science certificate programs, including an MTech Program in Machine Intelligence and Data Science.

3. Indian Institute of Technology (IIT), Bombay: Provides deep knowledge of data science and AI through its Center for Computational Mathematics and Data Science (CMInDS).

4.Indian Institute of Management (IIM), Calcutta: Offers the Advanced Program in Data Sciences for working professionals.

5. Indian Institute of Technology (IIT), Kanpur: Offers two professional certificate programs: Data Analytics and AI and Machine Learning.

 

Data Science Bootcamps

Some data science bootcamps are listed below:

1.careerfoundry data analytics program

2.flatiron school online data science bootcamp

3.springboard data science career track

4.brainstation online data science bootcamp.

 

Data Science Salary Expectations

Data scientist salary expectations in india ranges between 3.8 lakhs rupee to 28.0 lakhs per annum.lowest salary in inda is 5 lakhs per annum . however with experience you can earn more . other factors like location of company , the company you work for and sector for which you are working also make effect on salary amount.

How to become data scientist: step-by step

1.get a data science degree: getting a data science degree or formal education in data science in important for strong foundation in mathematics, statistics and data science

2.specialized training: complete your formal education along with Data Science Training Programs, Data Science Bootcamps.

3. learn Programming Languages for Data Science: like python, R, SQL

4. learn machine learning, deep learning and AI

5. gain practical experience: get practical experience with data science internships, data science programs

6. Building a Data Science Portfolio: build a portfolio to showcase your ability to apply theoretical knowledge.

7. engage with data science community: via different platforms like linkedin and github etc.

8. develop transferable skills like analysis, communication, attention to details, problem solving etc.

9. career path : combine formal education , specialized training and skills and navigate the path to become data scientist and thrive in the field.

PUBLISHED BY : statisticalnaxus