IIT Palakkad - IIT Palakkad - Professional Certificate Programme in Applied Data Science
- Offered byEmeritus
IIT Palakkad - Professional Certificate Programme in Applied Data Science at Emeritus Overview
Duration | 26 weeks |
Total fee | ₹75,000 |
Mode of learning | Online |
Credential | Certificate |
IIT Palakkad - Professional Certificate Programme in Applied Data Science at Emeritus Highlights
- Earn a Certificate from IIT Palakkad
- Three 90-minute workshops from career management industry experts
- Get Peer Learning and Feedback support with dedicated programme support
- Job placement assistance from partner companies via Emeritus Career Services
- Gain expertise on widely used tools like Python, Jupyter, NumPy, pandas, matplotlib, seaborn
- Learn through 65 recorded video lectures, 12 assignments, 12 discussions, 1 project and 24 quizzes
IIT Palakkad - Professional Certificate Programme in Applied Data Science at Emeritus Course details
- For professionals interested in building a career in Data Science
- For professionals who want to understand the inner working of the world of Data Science
- For early and mid-level professionals keen to upskill and gain cutting-edge knowledge in Data Science
- For executives overseeing software development
- Clean, optimise and interpret raw data using various data engineering tools
- Solve a real-life classification problem using machine learning tools and techniques
- Gain mastery over cutting-edge data science tools such as Python and Excel
- Carry out Social Network Analysis and make recommendations
- The program is designed with a focus on upskilling the participant on Python, the world?s #1 programming language, and Data Engineering
- his is a unique programme which will build your expertise through concepts and real-world cases. This will upgrade your resume and propel your career to new heights
IIT Palakkad - Professional Certificate Programme in Applied Data Science at Emeritus Curriculum
Module 1: Statistics for Data Science
Probability - Joint, Conditional, Marginal
Probability Distributions
Univariate Analysis
Bivariate Analysis
Multivariate Analysis
Sample and Population
Sampling Techniques
Sampling Size Calculations
Correlation, Covariance and Interquartile Ranges
Inferential Analysis-Hypothesis Testing
Module 2: Python for Data Science
Introduction to Data Science
Working with Data Types and Operators in Python
Writing Functions in Python
Popular Data Science Packages in Python
Advanced Functions
Data Manipulation and Analysis with Pandas
Data Visualization with Matplotlib
Random Variables and Statistical Inferences
Statistical Distributions and Hypothesis Testing
Data Cleaning
Exploratory Data Analysis
Getting Started with Linear Algebra for Machine Learning
Module 3: Applied Data Science
Data Engineering
Data Storage
Data Visualization
Classification and Decision Trees
Linear and non - linear regression
Evaluating Data Models
Time series analysis forecasting
Clustering Models
Exploratory Data Analysis
Topic Model
Text Analysis
Social Network Analysis