Data Science and AI Program

Data Science and AI Certification Course

Choose Specialization over Generalization

With new capstone projects, learn how to apply your previous domain expertise to make a successful transition.

Get Certified From Wikipidia Academy & Move Towards Your Dream Job

Wikipidia Academy’s Domain Specialization and Industry Certified Capstone Projects helps you to make your past work experience relevant

Get Practical Exposure

Don’t just learn, apply your knowledge: collaborate with companies.

Live Session

Learn from top industry experts with live online courses.

100% Job Placement

Get 100% guaranteed job calls with top companies and startups.

Global Recognition

From IBM + Microsoft

Industry Standard

Training

Career Assistance

Live Sessions

Financing as low as

₹ 5,400/month

Why Enroll In This Program?

1-on-1 Dedication

Live interactive session with expert for every individual

Assured Interview Call

Get job referrals powered by 250+ hiring partners

Premium Mentoring

Get professionally trained from MAANG and MNC experts

Crafted for professional

Prioritize growth and salary hike with in-demand skillset

I had a great learning experience at Wikipidia Academy. The faculties here are top-notch. Right from enrollment to getting a good job, they keep putting enormous efforts into each and every candidate. Thanks to all the trainers, the backend team, the HR team and the directors for making this journey smooth.

Daksh Mishra

Working as Data Analyst

Thanks to the Wikipidia Academy’s data science course and outstanding assistance, I could ace the TCS interview and secure a job with a 400% pay hike. My understanding of the course was greatly improved by the real-time projects and respective IBM project experience certification.

Aryan

Working at TCS

I always had a dilemma about how to switch to the IT field until I stumbled upon the foundation data science course offered by Wikipidia Academy. The perfect combination of flexibility, affordability, and supportiveness. They helped me get placed at Capgemini, and I’m delighted with my current career.

Arjun Kumar

Working at Capgemini

What Makes Us Different?

You have several options when choosing any course from Wikipidia as we have never failed our promises.

Take advantage of interactive, live learning in comfort of your home. Experts from MNCs and MAANG assist in online and offline project sessions at different project innovation centers around 7+ cities in India.

Get the advantage of experienced candidate to make the most out of it. Make a switch as a professional, not as a fresher by utilizing your existing knowledge through domain specialization.

Highlight your profile and get recognition from renowned industries worldwide. Work on latest capstones and achieve a project experience certificate from IBM.

Enjoy 3 years of limitless independence for accessing all the learning materials, live batches, and project sessions. Make your learning calendar as per your convenience. Professionals get to switch between weekdays and weekends.

Data Science & AI Program : Batch Details

New batches start on 5th, 15th & 25th of every month.

Syllabus

Wikipidia provides Live, Interactive Online Sessions guided by Professionals working in top MNCs. All sessions are covered practically with real-time industrial projects and case studies.

Topic 1 :- Cohort Orientation

A brief introduction to tools related to data

Learn about particular real-time projects and Capstone projects

Data and its impact on career opportunities

Utilizing data, to enhance industrial operations and management

Topic 2 :- Fundamentals of Programming

Introduction to Anaconda & Jupyter notebook

Flavors of python Introduction to Git, GitHub

Python Fundamentals

Topic 3 :- Fundamentals of Statistics

Mean, Median, Mode

Standard Deviation, Average. Probability, Permutations, and Combinations

Introduction to Linear Algebra

Module 1 :- Python Programming

Programming Basics & Environment Setup

Python Programming Overview

Strings, Decisions & Loop Control

Python Data Types

Functions And Modules

Class hands-on: 8+ Programs to be covered in the functions, Lambda, modules, Generators, and Packages class

File I/O And Exceptional Handling and Regular Expression

Class hands-on: 10+ Programs to be covered in class from File IO, Reg-ex and exception handling

Data Analysis Using Numpy

Data Analysis Using Pandas

Data Visualization using Matplotlib

Data Visualization using Seaborn

Case Study on Numpy, Pandas, Matplotlib 1 Case Study on Pandas And Seaborn

Module 1 :- Statistics

Fundamentals of Math and Probability

All about Population & Sample

Introduction to Statistics, Statistical Thinking

Descriptive Statistics

Inferential Statistics

Hypothesis Testing

Linear Algebra

Data Processing & Exploratory Data Analysis

EDA

Statistics Assignments: Total 4 practice sets and Assignments from Statistics

Module 2 :- Machine Learning

Introduction to Machine Learning

Regression and Classification Models

Linear Regression Model

Data Preprocessing

Encoding the Data

Logistic Regression Model

Evaluation Metrics for Classification model

K Nearest Neighbours Model

Decision Tree Model

Random Forest Model

Hyperparameter Tuning

Naive Baye’s Model

Case Study on Kart Model Business & Random Forest

K Means and Hierarchical Clustering

Hierarchical Clustering

Principal Component Analysis (PCA):

Support Vector Machine(SVM)

Module 1 :- SQL

SQL and RDBMS

Advance SQL

NoSQL, HBase & MongoDB

JSON Data & CRUD

Programming with SQL

Module 2 :- MongoDB

Introduction to MongoDB

MongoDB (Advance)

Module 3 :- Tableau

Introduction to Tableau

Visual Analytics

Dashboard and Stories

Hands-on: Connecting data source and data cleansing

Working with various charts, Deployment of Predictive model in visualization

Module 4 :- PowerBI

Getting Started With Power BI

Programming with Power BI

Module 5 :- Big Data & Spark Analytics

Introduction To Hadoop & Big Data

What is Spark

Getting to know PySpark

Hands-on: Map reduce Use Case : Youtube data analysis & Spark RDD programming

Module 6 :- Time Series

Introduction to Time Series Forecasting

Introduction to ARIMA Models

Case Study on Time series classification of smartphone data to predict user behavior, Performing Time Series Analysis on Stock Prices & Time series forecasting of sales data

Module 1 :- MS Excel Fundamentals

Module 2 :- Worksheet Customization

Module 3 :- Working with Images & Shapes in Excel Worksheet

Module 4 :- Basic MS Excel

Module 5 :- Advance Excel Formula

Module 6 :- Advance Excel Functions

Module 7 :- Charts & Graphs

Module 8 :- Dashboard & Stories with Macros

Module 1 :- Deep Learning Using Tensorflow

Introduction to Deep Learning And TensorFlow

TensorFlow Classification Examples

Understanding Neural Networks With TensorFlow

Convolutional Neural Network (CNN)

Project on Building a CNN for Image Classification

Module 2 :- Natural Language Processing (NLP)

Natural Language Processing

Text Analysis

KNN

Use cases on NLP: Sentiment analysis for marketing

Module 3 :- Model Training & Deployment Using (AWS GCP)

AWS (Amazon Web Services)

GCP (Google Cloud Platform)

Introduction to AWS and GCP Cloud ML Engine

Deploying Machine Learning Model
- Introduction to Azure Machine Learning
- Deploying Machine Learning Models using Azure

Training Machine Learning Model

Module 4 :- ChatGPT

Understanding of ChatGPT powered by LLM (Large Language Model)
Pro-tips on prompt design and ChatGPT usage
Explore ChatGPT, GPT-4, Dalle-2
Create code and apps using the open API of OpenAI
Potential Use Cases For ChatGPT
- Virtual customer care representatives
- Personal assistants
- Social media moderation
- Language translation