- Syntaxes, String operations, data types, dictionaries, sets, conditions, functions, loops, OOP, Numpy, Pandas, Matplotlib, and more.
Quick Facts
particular | details | |||
---|---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
certificate availability
No
The syllabus
Python
Statistics
- Types of data, graphs, numerical measures, probability concepts, CLT, Hypothesis testing, ANOVA, correlation and more
Exploratory Data Analysis (EDA)
- Introduction to ML and SK Learn, Label Coding, One-hot-encoding, standardization, imputation techniques, and graphs
SQL
- SQL vs NoSQL vs MySQL, RDBMS, SQL functions, Operators, Joins and Unions, Database functions, Data types, keys, Constraints, Timestamps and more
Machine Learning
- Supervised and unsupervised learn- ing, ML algorithms and introduction to Deep Learning
Visualisation Tools
- Tableau and Power BI
Capstone project
Interactions
- One-to-one interactions with instructors and mock-interviews with experts
Instructors
Articles
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