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Preparing Future Managers in Logistics, Aviation, Banking, Automobile, Competitive Exams & Design Industry
Preparing Future Managers in Logistics, Aviation, Banking, Automobile, Competitive Exams & Design Industry

FAQ’s on Data Science

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What is Data Science?

Data Science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

Market size of Data Science Industry?

  • Market is expected to grow at a CAGR of 29.7% to $40.6 billion by 2023.
  • Data Science Industry is the in-demand industry with no sign of slowing & generating huge employment opportunities.
  • Now a days, data driven careers in in-demand, business are hiring skilled professionals to cater the demand of the industry.
  • India is currently among top 10 big data analytics markets in the world.

Top companies hiring for Data Scientist

  • Amazon
  • Google
  • Apple
  • Adobe
  • Accenture
  • Dell
  • E-bay
  • Microsoft
  • Flipkart
  • Snapdeal
  • Oracle
  • Infosys
  • Cognizant

What will I become after completing the program?

  • Data Scientist
  • Quantitative Analyst/Modeller
  • Big Data Scientist
  • Data Business Analyst
  • Business Analyst Manager or Consultant
  • Big Data Engineer
  • Financial Analyst
  • Marketing Analytics Manager
  • Database Administrator
  • Business Intelligence and Analytics Consultant
  • Analytics Associate Metrics
  • Analytics Specialist Database Administrator
  • Retail Sales Analyst
  • Big Data Analyst
  • Machine Learning Engineer
  • Business Analyst Specialist

Top skills which you will learn?

Statistics Analytics, Technical Skills using Python, Machine Learning, Data Visualization, Big Data Analytics techniques.

Reasons to pursue careers in Data Science.

  • Growing Demand
  • Evolving Field with huge employment opportunities
  • A highly paid career
  • Data Science is Versatile
  • Industry demanding skilled professionals
  • Huge employment opportunities

Tools & technique covered in the course

  • Python Coding
  • Hadoop
  • SQL Database
  • Apache Spark
  • Artificial Intelligence & Machine Learning
  • Data Visualization
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