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:
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
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:
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
