Data Science with Artificial Intelligence & Machine Learning (CPDS)
Curriculum
Data Science with AI & ML ( Course Duration 6 Months- 240 Hours)
- Introductions to Data Science
- Domains in Data science
- Need of Data science
- Use of Data science in Business
- Lifecycle of Data science Project
- Data science Tools and Technologies
- Basics of Excel for analysis
- Required Skill for Data Science
- Types of data
- Measures of central tendency and Dispersion
- Sampling Techniques
- Descriptive vs Inferential Statistics
- Hypothesis & inferences Testing
- F Test
- T test
- ANNOVA
- Chi Square Test
- Confidence Interval
- Central Limit Theorem
- P value
- Variables
- Covariance and Correlation
- Excel Essentials
- Working with Multiple Worksheet
- Cell Referencing
- Working with Data Lists
- Conditional Formatting
- Data Validation
- What-If Analysis
- Formula Auditing
- Protection Sheet
- Introduction to Python
- Command line basics
- Numbers, Operators & Comments
- Variables & Strings
- Boolean & Conditional Logic
- Looping in Python
- Lists
- Dictionaries
- Tuples & sets
- Functions
- Modules
- OOP
- File I/O
- Loading the file
- Handling Missing values (Numerical / Categorical)
- Graphical Exploratory Analysis (Seaborn / Matplotlib)
- Introduction To AI
- Why AI is Required
- What is Neuron
- Architecture of Artificial Neural Network
- Neural Network Modules
- Activation Functions
- Optimization Function
- Cost function
- Dense Neural Network
- Regularization
- Gradient Descent
- Supervised Learning
- Unsupervised
- Metrics
- Dimension Reduction
- Models
- Time Series Analysis
- Hyperparameter Tuning / Advanced ML Models
- Introduction to Git & Distributed
- Version Control
- Git Life Cycle
- Create Clone & Commit Operations
- Push & Update Operations
- Stash, Move, Rename & Delete
- Operations
- Architecture of Tableau
- Product Components
- Working with Metadata and Data Blending
- Data Connectors
- Data Model
- File Types
- Dimensions & Measures
- Data Source Filters
- Creation of sets
- Gantt Chart
- Funnel Chart
- Waterfall Chart
- Working with Filters
- Organizing Data and Visual Analytics
- Working with Mapping
- Working with Calculations and Expressions
- Selecting & Retrieving Data with SQL
- Filtering, Sorting and Calculating Data With SQL
- Subqueries and Joins in SQL
Career Opportunities after this course
Data Analyst
Machine Learning Engineer
Data Scientist
Jobs
In India finance, healthcare, e-commerce, and technology, such as TCS, Accenture, and HDFC Bank, actively recruit Data Scientists.