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DATA
SCIENCE
INDEX
1.INTRODUCTION
2.HISTORY
3.WHAT IS DATA SCIENCE
4.ROLE /NEED OF DATA SCIENCE
5.APPLICATION OF DATA SCIENCE
6.CHALLENGES OF DATA SCIENCE
7.DATA SCIENCE CAREER
8.SKILL REQUIRED FOR DATA SCIENCE
9.COURSE
10.JOBS
11.SALARY
12.CONCLUSION
Data Science is all about Data
or information ,research and
decision-making.
Data Science refers to how
well data match reality.
INTRODUCTION
HISTORY
Early in the 1960s, a new field that would
support the comprehension and interpretation
of the massive amounts of data that were being
gathered at the time was given the name "Data
Science." (At the time, there was no way of
predicting the truly massive amounts of data
over the next fifty years.)
WHAT IS DATA SCIENCE?
Data Science is a discipline that is constantly
developing, using computer science and statistical
methods to obtain insights and make useful
predictions in a variety of fields. In addition to being
used in fields like astronomy and health, data
science is also applied in business to aid in
decision-making.
NEED OF DATA SCIENCE
Data science allows businesses to effectively
comprehend enormous amounts of data from
numerous sources and gain insightful
information for more informed decisions. Data
science is extensively used in various
industries, including marketing, healthcare,
banking, finance, policy work, and others.
APPLICATION OF DATA SCIENCE
● Fraud and Risk Detection
● Weather Forecasting
● Healthcare
● Targeted Advertising
● Website Recommendations
● Advanced Image
Recognition
● Speech Recognition
● Airline Route Planning
● Gaming
● Augmented Reality
● Internet Search
CHALLENGES OF DATA SCIENCE
➢ Data Preparation
➢ Multiple Data Sources
➢ Data Security
➢ Understanding The Business Problem
➢ Effective Communication With Non-Technical
Stakeholders
➢ Collaboration with Data Engineers
➢ Misconceptions about the role
➢ Undefined KPIs and metrics
➢ Detecting deviations from the norm in huge data
sets
➢ Finding patterns in massive data sets
➢ The process of estimating the possibility of
something occurring
➢ Categorizing specific data points
DATA SCIENCE CAREER
★ Data Scientist
★ Data Analyst
★ Data Engineer
★ Data Architect
★ Data and Analytics
Manager
➔ Business Analyst
➔ Business Intelligence
Analyst
➔ Marketing Analyst
➔ Machine Learning
Engineer
❏ Database
Administrator
❏ Database
Developer
❏ Statistician
❏ Data Mining
Specialist
SKILL REQUIRED FOR DATA SCIENCE
● Python
● R Programming
● Scala
DATABASE
❏ MYSQL
❏ MongoDB
MATHEMATICS
❖ Linear Algebra
and Matrix
❖ Statistics
❖ Geometry
❖ Calculus
❖ Probability
Distribution
❖ Regression
❖ Dimensionality
Reduction
❖ Vector Models
PROGRAMMING
SKILL REQUIRED FOR DATA SCIENCE
DATA ANALYTICS
AND VISUALIZATION
● Tableau
● Power BI
● Qlikview
● D3.js
WEB SCRAPING
❏ BeautifulSoup
❏ Scrapy
❏ Pandas
DEEP LEARNING WITH NATURAL LANGUAGE PROCESSING
★ KNIME
★ RapidMiner
★ Integrate.io
★ Hadoop
★ Spark
BIG DATA
MACHINE LEARNING WITH ARTIFICIAL INTELLIGENCE
PROBLEM- SOLVING SKILL
DATA SCIENCE COURSE
Post-Graduate Diploma in Business
Analytics (PGDBA)
Postgraduate Diploma in Data Science
(PGD-DS)
PGP in Data Science
PGP – Data Science and Engineering
MTech in Data Science and Artificial
Intelligence
DATA SCIENCE JOBS
➢ Data Scientists
➢ Data Analyst
➢ Data Engineer
➢ Business Intelligence Analyst
➢ Marketing Analyst
➢ Data Architect
➢ Machine Learning Engineer
➢ Database Administrator
Data Engineer
Data Analyst
Data Architect
Statistician
Data Scientist
Database Administrator
Business Analyst
DATA SCIENCE JOBS SALARY
₹1,270,879 per year
₹875,249 per year
₹785,561 per year
₹489,234 per year
₹978,625 per year
₹686,521 per year
₹1,745,264 per year
JOB PROFILE SALARY
CONCLUSION
● Data science is a great career choice,
● data science is a transformative and wonderful move
For the future it is one of the highly paid jobs in the IT
Sector.
THANK
YOU
Website: https://www.careerera.com/
Email: info@careerera.com
WE ARE ALSO
AVAILABLE ON

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Data Science

  • 2. INDEX 1.INTRODUCTION 2.HISTORY 3.WHAT IS DATA SCIENCE 4.ROLE /NEED OF DATA SCIENCE 5.APPLICATION OF DATA SCIENCE 6.CHALLENGES OF DATA SCIENCE 7.DATA SCIENCE CAREER 8.SKILL REQUIRED FOR DATA SCIENCE 9.COURSE 10.JOBS 11.SALARY 12.CONCLUSION
  • 3. Data Science is all about Data or information ,research and decision-making. Data Science refers to how well data match reality. INTRODUCTION
  • 4. HISTORY Early in the 1960s, a new field that would support the comprehension and interpretation of the massive amounts of data that were being gathered at the time was given the name "Data Science." (At the time, there was no way of predicting the truly massive amounts of data over the next fifty years.)
  • 5. WHAT IS DATA SCIENCE? Data Science is a discipline that is constantly developing, using computer science and statistical methods to obtain insights and make useful predictions in a variety of fields. In addition to being used in fields like astronomy and health, data science is also applied in business to aid in decision-making.
  • 6. NEED OF DATA SCIENCE Data science allows businesses to effectively comprehend enormous amounts of data from numerous sources and gain insightful information for more informed decisions. Data science is extensively used in various industries, including marketing, healthcare, banking, finance, policy work, and others.
  • 7. APPLICATION OF DATA SCIENCE ● Fraud and Risk Detection ● Weather Forecasting ● Healthcare ● Targeted Advertising ● Website Recommendations ● Advanced Image Recognition ● Speech Recognition ● Airline Route Planning ● Gaming ● Augmented Reality ● Internet Search
  • 8. CHALLENGES OF DATA SCIENCE ➢ Data Preparation ➢ Multiple Data Sources ➢ Data Security ➢ Understanding The Business Problem ➢ Effective Communication With Non-Technical Stakeholders ➢ Collaboration with Data Engineers ➢ Misconceptions about the role ➢ Undefined KPIs and metrics ➢ Detecting deviations from the norm in huge data sets ➢ Finding patterns in massive data sets ➢ The process of estimating the possibility of something occurring ➢ Categorizing specific data points
  • 9. DATA SCIENCE CAREER ★ Data Scientist ★ Data Analyst ★ Data Engineer ★ Data Architect ★ Data and Analytics Manager ➔ Business Analyst ➔ Business Intelligence Analyst ➔ Marketing Analyst ➔ Machine Learning Engineer ❏ Database Administrator ❏ Database Developer ❏ Statistician ❏ Data Mining Specialist
  • 10. SKILL REQUIRED FOR DATA SCIENCE ● Python ● R Programming ● Scala DATABASE ❏ MYSQL ❏ MongoDB MATHEMATICS ❖ Linear Algebra and Matrix ❖ Statistics ❖ Geometry ❖ Calculus ❖ Probability Distribution ❖ Regression ❖ Dimensionality Reduction ❖ Vector Models PROGRAMMING
  • 11. SKILL REQUIRED FOR DATA SCIENCE DATA ANALYTICS AND VISUALIZATION ● Tableau ● Power BI ● Qlikview ● D3.js WEB SCRAPING ❏ BeautifulSoup ❏ Scrapy ❏ Pandas DEEP LEARNING WITH NATURAL LANGUAGE PROCESSING ★ KNIME ★ RapidMiner ★ Integrate.io ★ Hadoop ★ Spark BIG DATA MACHINE LEARNING WITH ARTIFICIAL INTELLIGENCE PROBLEM- SOLVING SKILL
  • 12. DATA SCIENCE COURSE Post-Graduate Diploma in Business Analytics (PGDBA) Postgraduate Diploma in Data Science (PGD-DS) PGP in Data Science PGP – Data Science and Engineering MTech in Data Science and Artificial Intelligence
  • 13. DATA SCIENCE JOBS ➢ Data Scientists ➢ Data Analyst ➢ Data Engineer ➢ Business Intelligence Analyst ➢ Marketing Analyst ➢ Data Architect ➢ Machine Learning Engineer ➢ Database Administrator
  • 14. Data Engineer Data Analyst Data Architect Statistician Data Scientist Database Administrator Business Analyst DATA SCIENCE JOBS SALARY ₹1,270,879 per year ₹875,249 per year ₹785,561 per year ₹489,234 per year ₹978,625 per year ₹686,521 per year ₹1,745,264 per year JOB PROFILE SALARY
  • 15. CONCLUSION ● Data science is a great career choice, ● data science is a transformative and wonderful move For the future it is one of the highly paid jobs in the IT Sector.