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