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Foundation Certificate

AI & Data Science

Foundation Certificate

AI & Data Science

Foundation Certificate

  • EMI Options
    EMI Options:
    Yes
  • Certification:
    Yes
  • Mode
    Mode:
    Live Online
  • Duration
    Duration:
    4 months / 16 weeks
  • Online Sessions
    Online Sessions:
    24 (60-90 min each)
  • Efforts:
    4-6 hours / week
  • Classes
    Classes:
    Weekends / Weekdays
  • Assignments:
    Yes
  • Quizzes:
    Yes
  • Projects
    Projects:
    No

About Program

Curriculum

Duration:  4 Months Course (16 weeks/ 32 sessions of 60-90 minutes each)

– Enables professionals to efficiently enhance their skills in a short timeframe, leading to a better grasp of AI and Data Science concepts.

Chapters & Topics

Weeks 1-2: Introduction to AI and Data Science

– Scope and Significance of AI and Data Science Across Diverse Industries
– Distinctions between AI Engineers, Software Engineers, and Data Scientists
– Future in AI, Machine learning, and Data Science
– Generative AI, LLM (Large Language Models), and Image Generation

Weeks 3-4: Python Fundamentals

– Data Types & Operators, Control Structures – If-Elif Statement
– Control Structures – For Loop
– Control Structures – While loop
– String Functions and Operations

Weeks 5-6: Python Data Structures

– Comprehensive Study of Lists and their Function
– Understanding Tuples and their Functionality
– Exploring Dictionary and its Functions
– Leveraging Sets for Unique Data Handling

Weeks 7-8: Python Deep Dive

– Mastering Python Functions and their Application
– Understanding Functional Arguments and their Implementations
– Learning Robust Error Handling Techniques
– Understanding Regular Expressions (Regex) for Pattern Matching

Weeks 9-10: Python Frameworks Library for Data Science & Analysis

– Introduction to NumPy: Numeric Computing with Python
– Exploring NumPy Broadcasting for Efficient Array Operations
– Introduction to Pandas
– Pandas Functionality for Data Analysis and Manipulation

Weeks 11-12: Data Analysis

– Data Storytelling with Matplotlib
– Exploratory Data Analysis (EDA) Techniques and Approaches
– Exploring Databases, Different Models and Use Cases
– Understanding NoSQL Databases and MongoDB, and its Benefits in Data Analysis

Weeks 13-16: Data Visualization with Tableau

– Introduction to Tableau and Data Visualization Techniques (Charts, Heat Maps, Tree Maps, and Box Plots)
– Interactive Dashboards, Compelling Data Stories, Blending and Joining
– Advanced Analytics and Forecasting (Trend Lines, Clustering, and Predictive Modeling etc.)
Recap, Project, Assessment and Certification

Tools & Technologies You Will Learn in this Course,
Aligning with Industry Standards

– Programming and Development Environments: Python
– Data Manipulation and Analysis: NumPy, and Pandas
– Data Visualization: Tableau
– Databases: MongoDB

Bonus Module (Job / Professional Readiness)

– Soft Skills Development
– Networking strategies and building a professional online presence
– Address Specific Career Goals and Valuable Advice for Navigating the Job Market
– Professional Resume and Interview Preperation
– Job Assistance through Medh Placement Cell

Assessment, Evaluation & Certification

– Weekly Quizzes to Gauge Comprehension of Key Concepts
– Practical Hands-on Assignments and Thorough Evaluation
– Active Engagement in Group Discussions
– Capstone Project
Certification upon program completion

Note: This curriculum is subject to minor modifications based on the class progress and feedback. Each course is designed to incorporate a mix of interactive activities, case studies, role plays, and reflective exercises to cater to the specific needs and developmental milestones of the respective age group.

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FAQs

Note: If you have any other questions or concerns not covered in the FAQs, please feel free to contact our support team, and we’ll be happy to assist you!

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