Introduction
Data Science studies various techniques and tools for finding unforeseen patterns by utilizing vast amount of data. These help in deriving meaningful information from various for making informed decisions. There are five main stages in the lifecycle of data: Data Capture, Data Maintenance, Data Processing, Data Analysis and Data Communication.
Methods such as machine learning, statistics, modeling, and programming are utilized to extract information from raw data. Industries make use of various tools such as Excel, RapidMiner, R Studio, SAS, Jupyter, MATLAB etc. for drawing valuable information and managing data.
STL Academy’s Data Science program offers various subjects such as data management, networking, python for Data Science, big data technologies etc. to help students develop basic engineering skills imperative for effective decision making. Our approach bridges the knowledge gap between business users and technologists, creating Data Science professionals who are fluent in both worlds.
Curriculum
- Basics of Computing
- Data Science and Cloud Computing for Business Intelligence
- Computing Lab
- Python for Data Science
- Python for Data Science Lab
- Business Analysis and Strategic Management
- Mathematics for Data Science
- Business Analytics using Python Lab
- Operations Research
- Visual Analytics
- Data Ethics
- Data Visualization for Managers
- Data Mining and Data Warehouse
- Predictive Modeling
- Web and Network Data Science
- Data Mining and Data Warehouse
- Big Data Technologies
- Web and Network Data Science
- Classroom sessions, simulation exercises, case studies
- Assignments and discussions
- Projects (On-site and off-site)
- Data Scientist
- Data Science Managers
- IT Manager
- Business Manager
- Data Analyst
- Database Administrator
- Data Engineer
- Systems/Business Analyst
Key Learning Outcomes
Why STL
studies.
Post Successful
Completion of
this course
Eligibility Criteria for Admission in PG Diploma Courses of STL Academy
Any student who:
- is a B.Tech with 50% or higher.
- is a graduate in any quantitative discipline like engineering, mathematics, commerce, sciences, statistics, economics etc. with 50% or higher.
- has cleared the STL – STEM (Sterlite Technical Eligibility Milestone) Test with 60% or higher.
- can read and write in English
- is passionate about technologies
For Data Science, the candidate should understand basic concepts of Math and Statistics, along with above requirements.
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Selection and Admission Process
