Certification In Data Analytics

This course prepares students to gather, describe and analyze data and use advanced statistical tools to make decisions on operations, risk management, finance, marketing etc.

Data Science as a multi-disciplinary subject encompasses the use of mathematics, statistics, and computer science to study and evaluate data. The key objective of Data Science is to extract valuable information for use in strategic decision making, product development, trend analysis, and forecasting.

Data Science concepts and processes are mostly derived from data engineering, statistics, programming, social engineering, data warehousing, machine learning, and natural language processing. The key techniques in use are data mining, big data analysis, data extraction, and data retrieval.

Data Science deals with identification, representation, and extraction of meaningful information from data sources to be used for business purposes. Data engineers are responsible for setting up the database and storage to facilitate the process of data mining, data munging and other processes.

Course Curriculum:

• Unit 1: Getting started with PYTHON
• Unit 2: Numerical Computing with Pandas
• Unit 3: Scientific Computing with NumPy/SciPy
• Unit 4: Presenting stories via simple visualizations
• Unit 5: Using the NLTK (Natural Language Toolkit) Package
• Unit 6: Getting insights from TWEETS