Advance Certificate in Data Science

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About Course

Overview:
The Advanced Certificate in Data Science is designed to equip you with the essential skills and knowledge needed to excel in the data science field. This comprehensive program covers the entire data science lifecycle, from data collection and analysis to machine learning and big data technologies. You’ll learn through hands-on projects and real-world case studies, ensuring you can apply your skills in practical scenarios.

Course Curriculum:

Foundations of Data Science:
Introduction to data types and structures
Basics of programming( Python, R)
Data cleaning & preprocessing

Hands on with Python:

  • Python Programming Introduction
  • Syntax, Comments, Variable, Data Types
  • Python String
  • Python Operators
  • List /Tuple /Sets /Dictionaries
  • If else/For Loop
  • Functions
  • File Handling
  • Object Oriented Programming
  • Exception Handling
  • Regular Expressions
  • Lambda Function

Statistical Analysis:

Introduction to Statistics
Descriptive and inferential statistics

Different Types of Hypothesis Testing
Probability distributions

Statistical Functions

Machine Learning:
Supervised and unsupervised Learning
Regression and classification models
Clustering algorithms

 

Python Machine Learning Libraries:

  • Python Numpy
  • Python Pandas Basics
  • Python Data Cleaning /Missing Value / Fill-na Values/Replace Value
  • Data Feature Eng. :Handling the Categorical Data
  • Data Feature Eng. :Data Validation
  • Data Visualization tools like Matplotlib, Seaborn, Tableau
  • Storytelling through data

Big Data and Hadoop:
Handling large datasets
Distributed Computing

Deep Learning:
Neural networks
Tensor-Flow and PyTorch frameworks

Data Ethics and Privacy:
Ethical considerations in data science
Privacy issuses and compliance

Student Benefits for the Advanced Certificate in Data Science

  1. Industry-Relevant Skills: Gain expertise in data science tools and techniques, making you job-ready.
  2. Hands-On Experience: Engage in practical exercises and real-world projects to apply your knowledge.
  3. Experienced Instructors: Learn from seasoned professionals with extensive industry experience.
  4. Comprehensive Curriculum: Cover a broad range of topics from data analysis to advanced machine learning.
  5. Government-Approved Certification: Obtain a certification that enhances your credibility and career prospects.
  6. Placement Support: Receive assistance in securing employment through our dedicated placement services.
  7. Flexible Learning: Choose from online or self-paced learning options to fit your schedule.
  8. Networking Opportunities: Connect with peers, instructors, and industry professionals.

Upon completion, you’ll receive a government-approved certification and benefit from our comprehensive placement support. Join us to gain cutting-edge skills and unlock new career opportunities in this dynamic field.

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What Will You Learn?

  • Exploratory data analysis techniques.
  • Data visualization with Matplotlib and Seaborn.
  • Descriptive and inferential statistics.
  • Statistical Analysis.
  • Data cleaning and transformation.
  • Handling missing data.
  • Supervised learning algorithms.
  • Unsupervised learning algorithms.
  • Model evaluation and selection.
  • Neural networks and deep learning.
  • Basics of Natural Language Processing (NLP)
  • Data collection techniques.
  • Model building and evaluation.

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