Data Science & AI Course

Wikipidia Academy’s Data Science Course gives the opportunity to work on real-world projects. This could involve analyzing public datasets, participating in online competitions, or collaborating on open-source projects. Building a strong portfolio demonstrates your practical skills to potential employers. Wikipidia Academy assists with job opportunities as a data analyst in various industries such as finance, Manufacturing, healthcare, e-commerce, and more. An optimized resume and cover letter to highlight your relevant skills and experiences will be shared with recruiters and Hiring Partners.

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Wikipidia Academy Data Science Course

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.

Program Features

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

Explore Our Courses

Data Science and AI Certification course

Data Science & AI Certification Course | Basic

6 Month Duration

Eligibility: Fresh, Graduate & Engineer

Projects: 2 Capstone & 12+ Real Time Projects

Course Fee: ₹ 29,900+Taxes

Data Science and AI Certification course

Data Science & AI Certification Course | Advance

9 Month Duration

Eligibility: 1+ year of work exp. in tech domain

Projects: 2 Capstone & 15+ Real Time Projects

Course Fee: ₹ 49,900+Taxes

Data Science and AI Certification course

Data Science & AI Certification Course | Expert

9 Month Duration

Eligibility: 1+ year of work exp. in any domain

Projects: 2 Capstone & 12+ 2 month incubation with International Mentors to build own Product and platform to Pitch to Govt. org

Course Fee: ₹ 79,900+Taxes

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 and AI Certification Course

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
  • Training Machine Learning Model
Wikipidia Academy - Best Data Science Institute in India

Why Wikipidia Academy?

Designed for Working Professionals

Industry-targeted Syllabus

Wikipidia Academy

Project Innovation Lab

Work on Industry Certified Project in offline mode in multiple cities across India. Collaborate with Project Mentors and other learners to get hands-on experience.

Live 1:1 – Resolve any doubts about projects and assignments

Extensive hands-on expertise across several domains

24/7 Learner’s Support

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