Data Science and AI Program | Basic

Duration: 6 Months

Choose Specialization over Generalization

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

Wikipidia Academy - Best Data Science Institute in India

Global Recognition

From IBM

Industry Standard

Training

Career Assistance

For Professionals

Financing as low as

₹ 4,983/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

Designed for Beginners

Start your career in Data Science with good salary

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 1 year 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 and AI Certification Course

Basic Data Science & AI Program : Batch Details

New batches starts 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

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
Dashboard and Stories
Hands on: Power BI Projects
Table Navigation
Matrix Navigation
Pane Navigation
Canvas Zoom/Slicer/Selection Pane
DAX Formula Bar

Module 5 :- Basics of Big Data & Spark Analytics

Introduction To Hadoop & Big Data

What is Spark

Getting to know PySpark

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

New Item

Program Features

Job Assistance
Live Class Subscription
LMS Subscription
Job Referrals
Industry Projects
Capstone Projects
Domain Training
Project Certification from Companies

Basic

₹ 29900+ GST

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1 Years
Lifetime
3+
7+
1
X
X

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Advance

₹ 49900+ GST

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3 Years
Lifetime
5+
15+
3
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Expert

₹ 79900+ GST

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3 Years
Lifetime
Unlimited
20+
5
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Frequently Asked Questions

Data science is accessible to everyone, regardless of prior experience. All you need is an interest in working with data and some basic computer skills. If you already have a basic understanding of statistics and coding, you might even be able to skip introductory courses.

Learn More – How to become a Data Scientist?

Starting a data science career can be fulfilling, especially for analytical minds who thrive on coding and data manipulation. As a data scientist, you’ll delve into various programming languages, navigate data systems, and extract insights to solve real-world problems. Effective communication is crucial since you’ll collaborate with teams to deliver findings. Moreover, data science serves as a strong base for machine learning and AI—an ever-expanding field. In just a few months, you can acquire data science skills applicable across diverse industries.

Still not sure? Book a Free Counselling Session Now!

Data science encompasses various roles, including data scientists, data analysts, data architects, and data engineers. Proficiency in data science skills is valuable for business and marketing analysts who rely on system tools to extract and analyze data. Given its widespread demand, data science finds applications across nearly every industry.

Learn More: Data Science – The Finest Job of 21st Century

Recently, there has been a significant increase in demand for online courses. Pursuing a master’s degree in data science can lead to progressive career growth. Online courses are particularly beneficial for working professionals who seek to learn data science without compromising their schedules.

Apply For Counselling

Data Science and AI Program | Basic

Choose Specialization over Generalization

Download Brochure

Global Recognition

Industry Standard

Career Assistance

Financing as low as

Why Enroll In This Program?

1-on-1 Dedication

Assured Interview Call

Premium Mentoring

Designed for Beginners

What Makes Us Different?

Basic Data Science & AI Program : Batch Details

Download Brochure

Syllabus

Topic 1 :- Cohort Orientation

Topic 2 :- Fundamentals of Programming

Topic 3 :- Fundamentals of Statistics

Module 1 :- Python Programming

Module 1 :- Statistics

Module 2 :- Machine Learning

Module 1 :- SQL

Module 2 :- MongoDB

Module 3 :- Tableau

Module 4 :- PowerBI

Module 5 :- Basics of Big Data & Spark Analytics

Module 6 :- Time Series

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