SlideShare a Scribd company logo
1 of 8
Download to read offline
Data Science
“Sexiest job of the 21st Century”
– Harvard Business Review
What is Data Science?
Data science is the study of the extraction of knowledge from data
Data
Science
Mathematical
Expertise
Business/Strategy
Acumen
Technology;
Hacking skills
Elements of Data Science
Data
Science
Databases
and
infrastructure
Pattern
mining
Statistics
Machine
Learning
Numerical
Optimization
Stochastic
modeling
Data
Visualization
Reasons to go for Data Science
▪ Data analytics is now a priority for top organizations
▪ Increasing job opportunities
▪ Increasing pay for data analytics professionals
▪ Big data analytics is everywhere
▪ You will have various job titles from which to choose
▪ You will be at the core of decision-making in the company
▪ Adoption rate of big data analytics is high
▪ Data analytics is taking over faster than expected
Scope of the profile
▪ Statistician
▪ Business intelligence reporting professional
▪ Data Analyst
▪ Data Mining Engineer
▪ Big Data Engineer
▪ Program/Project Manager
Top Companies you can work for
▪ Startups: Ola cabs, Uber, Housing...
▪ Ecommerce: Snapdeal, Flipkart, Amazon...
▪ Product based MNCs: Microsoft,VMware, Honeywell...
▪ Service based analytics company: Mu-Sigma,Vizury, Fractal
Analytics, Impetus,TCS...
What knowledge should one acquire for a
job in Data Science?
▪ Core programming knowledge like R, Python, SQL and SAS
▪ Statistics to analyze data
▪ Tools likeTableau to present data
▪ Machine learning algorithms to build productive models
Where do I start?
Start your Data Science career by pursuing
a course in PG DIPLOMA IN DATA
SCIENCE at UpGrad

More Related Content

What's hot

Data Science: The Art of Foul Play by Serhiy Shelpuk
Data Science: The Art of Foul Play by Serhiy ShelpukData Science: The Art of Foul Play by Serhiy Shelpuk
Data Science: The Art of Foul Play by Serhiy ShelpukSoftServe
 
Modern Data Management
Modern Data ManagementModern Data Management
Modern Data ManagementSAP Technology
 
Are you getting the most out of your data?
Are you getting the most out of your data?Are you getting the most out of your data?
Are you getting the most out of your data?SAS Canada
 
Walt Disney presentation at the Chief Analytics Officer Forum East Coast USA ...
Walt Disney presentation at the Chief Analytics Officer Forum East Coast USA ...Walt Disney presentation at the Chief Analytics Officer Forum East Coast USA ...
Walt Disney presentation at the Chief Analytics Officer Forum East Coast USA ...Chief Analytics Officer Forum
 
Big Data – From Strategy to Production
Big Data – From Strategy to ProductionBig Data – From Strategy to Production
Big Data – From Strategy to ProductionSemantic Web Company
 
Anchormen corne versloot
Anchormen corne verslootAnchormen corne versloot
Anchormen corne verslootBigDataExpo
 
Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...
Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...
Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...GEOkomm e.V.
 
Cloud and business agility
Cloud and business agilityCloud and business agility
Cloud and business agilityMike ORourke
 
Data scientist the sexiest job of the 21st century (article review presentation)
Data scientist the sexiest job of the 21st century (article review presentation)Data scientist the sexiest job of the 21st century (article review presentation)
Data scientist the sexiest job of the 21st century (article review presentation)chaithu reddy
 
Digital transformation - Hvor er vi lige nu?
Digital transformation -  Hvor er vi lige nu?Digital transformation -  Hvor er vi lige nu?
Digital transformation - Hvor er vi lige nu?Microsoft
 
3D Data Strategy Framework
3D Data Strategy Framework3D Data Strategy Framework
3D Data Strategy FrameworkDaniel Ren
 
Competitive Intelligence and Big Data
Competitive Intelligence and Big DataCompetitive Intelligence and Big Data
Competitive Intelligence and Big DataCID GmbH
 
Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?Edureka!
 
Accenture Big Data Expo
Accenture Big Data ExpoAccenture Big Data Expo
Accenture Big Data ExpoBigDataExpo
 
Staffing your analytics team: 6 skill sets
Staffing your analytics team:  6 skill setsStaffing your analytics team:  6 skill sets
Staffing your analytics team: 6 skill setsDavid Stephenson, Ph.D.
 
Analytics in Action - the Digital Economy
Analytics in Action - the Digital EconomyAnalytics in Action - the Digital Economy
Analytics in Action - the Digital EconomyLee Schlenker
 
The Five Data Questions
The Five Data QuestionsThe Five Data Questions
The Five Data Questionscrystalpullen
 

What's hot (20)

Data Science: The Art of Foul Play by Serhiy Shelpuk
Data Science: The Art of Foul Play by Serhiy ShelpukData Science: The Art of Foul Play by Serhiy Shelpuk
Data Science: The Art of Foul Play by Serhiy Shelpuk
 
Modern Data Management
Modern Data ManagementModern Data Management
Modern Data Management
 
Are you getting the most out of your data?
Are you getting the most out of your data?Are you getting the most out of your data?
Are you getting the most out of your data?
 
Walt Disney presentation at the Chief Analytics Officer Forum East Coast USA ...
Walt Disney presentation at the Chief Analytics Officer Forum East Coast USA ...Walt Disney presentation at the Chief Analytics Officer Forum East Coast USA ...
Walt Disney presentation at the Chief Analytics Officer Forum East Coast USA ...
 
Big Data – From Strategy to Production
Big Data – From Strategy to ProductionBig Data – From Strategy to Production
Big Data – From Strategy to Production
 
Anchormen corne versloot
Anchormen corne verslootAnchormen corne versloot
Anchormen corne versloot
 
Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...
Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...
Karin Patenge "DIGITAL TRANSFORMATION DATA DRIVEN BUSINESS Bedeutung und Nutz...
 
Cloud and business agility
Cloud and business agilityCloud and business agility
Cloud and business agility
 
Data scientist the sexiest job of the 21st century (article review presentation)
Data scientist the sexiest job of the 21st century (article review presentation)Data scientist the sexiest job of the 21st century (article review presentation)
Data scientist the sexiest job of the 21st century (article review presentation)
 
Digital transformation - Hvor er vi lige nu?
Digital transformation -  Hvor er vi lige nu?Digital transformation -  Hvor er vi lige nu?
Digital transformation - Hvor er vi lige nu?
 
Evaluation of big data analysis
Evaluation of big data analysisEvaluation of big data analysis
Evaluation of big data analysis
 
Big data
Big dataBig data
Big data
 
3D Data Strategy Framework
3D Data Strategy Framework3D Data Strategy Framework
3D Data Strategy Framework
 
Competitive Intelligence and Big Data
Competitive Intelligence and Big DataCompetitive Intelligence and Big Data
Competitive Intelligence and Big Data
 
Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?
 
Accenture Big Data Expo
Accenture Big Data ExpoAccenture Big Data Expo
Accenture Big Data Expo
 
Staffing your analytics team: 6 skill sets
Staffing your analytics team:  6 skill setsStaffing your analytics team:  6 skill sets
Staffing your analytics team: 6 skill sets
 
Analytics in Action - the Digital Economy
Analytics in Action - the Digital EconomyAnalytics in Action - the Digital Economy
Analytics in Action - the Digital Economy
 
Data Science for Marketing
Data Science for MarketingData Science for Marketing
Data Science for Marketing
 
The Five Data Questions
The Five Data QuestionsThe Five Data Questions
The Five Data Questions
 

Similar to PG DIPLOMA IN DATA SCIENCE

What Managers Need to Know about Data Science
What Managers Need to Know about Data ScienceWhat Managers Need to Know about Data Science
What Managers Need to Know about Data ScienceAnnie Flippo
 
In-Depth Data Analytics
In-Depth Data AnalyticsIn-Depth Data Analytics
In-Depth Data AnalyticsYASH GAIKWAD
 
Big analytics best practices @ PARC
Big analytics best practices @ PARCBig analytics best practices @ PARC
Big analytics best practices @ PARCJim Kaskade
 
Saama-POI Summit Speaker Deck April 2016 Final
Saama-POI Summit Speaker Deck April 2016 FinalSaama-POI Summit Speaker Deck April 2016 Final
Saama-POI Summit Speaker Deck April 2016 FinalDan Maxwell
 
From Rocket Science to Data Science
From Rocket Science to Data ScienceFrom Rocket Science to Data Science
From Rocket Science to Data ScienceSanghamitra Deb
 
How to crack Big Data and Data Science roles
How to crack Big Data and Data Science rolesHow to crack Big Data and Data Science roles
How to crack Big Data and Data Science rolesUpXAcademy
 
Introduction to (Big) Data Science
Introduction to (Big) Data ScienceIntroduction to (Big) Data Science
Introduction to (Big) Data ScienceInfoFarm
 
Profit from AI & Machine Learning: The Best Practices for People & Process
Profit from AI & Machine Learning: The Best Practices for People & ProcessProfit from AI & Machine Learning: The Best Practices for People & Process
Profit from AI & Machine Learning: The Best Practices for People & ProcessTony Baer
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieSunil Ranka
 
Data science and business analytics
Data  science and business analyticsData  science and business analytics
Data science and business analyticsInbavalli Valli
 
Il ruolo dei dati nella trasformazione digitale - SAS italy
Il ruolo dei dati nella trasformazione digitale - SAS italyIl ruolo dei dati nella trasformazione digitale - SAS italy
Il ruolo dei dati nella trasformazione digitale - SAS italySAS Italy
 
Modernizing Architecture for a Complete Data Strategy
Modernizing Architecture for a Complete Data StrategyModernizing Architecture for a Complete Data Strategy
Modernizing Architecture for a Complete Data StrategyCloudera, Inc.
 
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final   compressedMinne analytics presentation 2018 12 03 final   compressed
Minne analytics presentation 2018 12 03 final compressedBonnie Holub
 
Top Business Intelligence Trends for 2016 by Panorama Software
Top Business Intelligence Trends for 2016 by Panorama SoftwareTop Business Intelligence Trends for 2016 by Panorama Software
Top Business Intelligence Trends for 2016 by Panorama SoftwarePanorama Software
 
Embracing data science
Embracing data scienceEmbracing data science
Embracing data scienceVipul Kalamkar
 
Day 2 aziz apj aziz_big_datakeynote_press
Day 2 aziz apj aziz_big_datakeynote_pressDay 2 aziz apj aziz_big_datakeynote_press
Day 2 aziz apj aziz_big_datakeynote_pressIntelAPAC
 
How Big is Big Data business - Outsource People 2015
How Big is Big Data business - Outsource People 2015How Big is Big Data business - Outsource People 2015
How Big is Big Data business - Outsource People 2015Ihor Malchenyuk
 

Similar to PG DIPLOMA IN DATA SCIENCE (20)

What Managers Need to Know about Data Science
What Managers Need to Know about Data ScienceWhat Managers Need to Know about Data Science
What Managers Need to Know about Data Science
 
In-Depth Data Analytics
In-Depth Data AnalyticsIn-Depth Data Analytics
In-Depth Data Analytics
 
Big analytics best practices @ PARC
Big analytics best practices @ PARCBig analytics best practices @ PARC
Big analytics best practices @ PARC
 
Big data
Big dataBig data
Big data
 
Saama-POI Summit Speaker Deck April 2016 Final
Saama-POI Summit Speaker Deck April 2016 FinalSaama-POI Summit Speaker Deck April 2016 Final
Saama-POI Summit Speaker Deck April 2016 Final
 
From Rocket Science to Data Science
From Rocket Science to Data ScienceFrom Rocket Science to Data Science
From Rocket Science to Data Science
 
How to crack Big Data and Data Science roles
How to crack Big Data and Data Science rolesHow to crack Big Data and Data Science roles
How to crack Big Data and Data Science roles
 
Introduction to (Big) Data Science
Introduction to (Big) Data ScienceIntroduction to (Big) Data Science
Introduction to (Big) Data Science
 
Join Axtria - Ingenious Insights
Join Axtria - Ingenious InsightsJoin Axtria - Ingenious Insights
Join Axtria - Ingenious Insights
 
Profit from AI & Machine Learning: The Best Practices for People & Process
Profit from AI & Machine Learning: The Best Practices for People & ProcessProfit from AI & Machine Learning: The Best Practices for People & Process
Profit from AI & Machine Learning: The Best Practices for People & Process
 
Data science
Data scienceData science
Data science
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A Lie
 
Data science and business analytics
Data  science and business analyticsData  science and business analytics
Data science and business analytics
 
Il ruolo dei dati nella trasformazione digitale - SAS italy
Il ruolo dei dati nella trasformazione digitale - SAS italyIl ruolo dei dati nella trasformazione digitale - SAS italy
Il ruolo dei dati nella trasformazione digitale - SAS italy
 
Modernizing Architecture for a Complete Data Strategy
Modernizing Architecture for a Complete Data StrategyModernizing Architecture for a Complete Data Strategy
Modernizing Architecture for a Complete Data Strategy
 
Minne analytics presentation 2018 12 03 final compressed
Minne analytics presentation 2018 12 03 final   compressedMinne analytics presentation 2018 12 03 final   compressed
Minne analytics presentation 2018 12 03 final compressed
 
Top Business Intelligence Trends for 2016 by Panorama Software
Top Business Intelligence Trends for 2016 by Panorama SoftwareTop Business Intelligence Trends for 2016 by Panorama Software
Top Business Intelligence Trends for 2016 by Panorama Software
 
Embracing data science
Embracing data scienceEmbracing data science
Embracing data science
 
Day 2 aziz apj aziz_big_datakeynote_press
Day 2 aziz apj aziz_big_datakeynote_pressDay 2 aziz apj aziz_big_datakeynote_press
Day 2 aziz apj aziz_big_datakeynote_press
 
How Big is Big Data business - Outsource People 2015
How Big is Big Data business - Outsource People 2015How Big is Big Data business - Outsource People 2015
How Big is Big Data business - Outsource People 2015
 

Recently uploaded

Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...anjaliyadav012327
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...Sapna Thakur
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
The byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxThe byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxShobhayan Kirtania
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 

Recently uploaded (20)

Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
JAPAN: ORGANISATION OF PMDA, PHARMACEUTICAL LAWS & REGULATIONS, TYPES OF REGI...
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
The byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxThe byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 

PG DIPLOMA IN DATA SCIENCE

  • 1. Data Science “Sexiest job of the 21st Century” – Harvard Business Review
  • 2. What is Data Science? Data science is the study of the extraction of knowledge from data Data Science Mathematical Expertise Business/Strategy Acumen Technology; Hacking skills
  • 3. Elements of Data Science Data Science Databases and infrastructure Pattern mining Statistics Machine Learning Numerical Optimization Stochastic modeling Data Visualization
  • 4. Reasons to go for Data Science ▪ Data analytics is now a priority for top organizations ▪ Increasing job opportunities ▪ Increasing pay for data analytics professionals ▪ Big data analytics is everywhere ▪ You will have various job titles from which to choose ▪ You will be at the core of decision-making in the company ▪ Adoption rate of big data analytics is high ▪ Data analytics is taking over faster than expected
  • 5. Scope of the profile ▪ Statistician ▪ Business intelligence reporting professional ▪ Data Analyst ▪ Data Mining Engineer ▪ Big Data Engineer ▪ Program/Project Manager
  • 6. Top Companies you can work for ▪ Startups: Ola cabs, Uber, Housing... ▪ Ecommerce: Snapdeal, Flipkart, Amazon... ▪ Product based MNCs: Microsoft,VMware, Honeywell... ▪ Service based analytics company: Mu-Sigma,Vizury, Fractal Analytics, Impetus,TCS...
  • 7. What knowledge should one acquire for a job in Data Science? ▪ Core programming knowledge like R, Python, SQL and SAS ▪ Statistics to analyze data ▪ Tools likeTableau to present data ▪ Machine learning algorithms to build productive models
  • 8. Where do I start? Start your Data Science career by pursuing a course in PG DIPLOMA IN DATA SCIENCE at UpGrad