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Learn from Industry Experts
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Weekdays / Weekend batches available
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Get 100% placement assistance
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Special batches for job seekers

Students

10000+ Students Trained

Placement

100% Placement Assistance

Start Date

Program Details

Master the art of creating innovative solutions and generating valuable insights, all from the convenience of an online platform. Elevate your data science skills and unlock endless possibilities with our comprehensive course.

Key Features of the Course
  • Learn from Industry Experts
  • Weekdays batches available for working professionals and college going students
  • Weekend batches available for working professional
  • Get 100% placement assistance
  • Get classes as per your availability
  • Special batches for job seekers
Syllabus

  • Derivatives
  • Optimization
  • Gradients
  • Gradient Descent
  • Optimization in Neural Networks Newton Methods

  • Python Basics
  • Python Introduction
  • Python Data Structure: Lists and Arrays
  • Python : Conditions and Branching
  • Python : Functions and Methods
  • Python: Objects and Classes
  • Practice Questions in Python
  • Introduction to NumPy
  • Linear Algebra in NumPy
  • Seaborn, Matplotlib
  • Project 1 : Satellite Image Data Analysis using NumPy
  • Introduction to Pandas

  • Introduction to Jupyter Notebook
  • Getting Started with Data Science
  • Univ Introduction

  • Introduction to Probability
  • Probability Distributions
  • Describing Distributions
  • Probability Distribution with Multiple Variables
  • Population and Sample
  • Point Estimate
  • Confidence Interval
  • Hypothesis Testing
  • A/B Testing

  • Elimination Method
  • Row and Row Reduced Echelon form Vector Algebra
  • Linear Transformation
  • Determinants
  • Eigen Values of Eigen Vectors

  • Data Acquisition
  • Data Wrangling
  • Data Statistical Analysis, Grouping and Correlation
  • Model Development
  • Model Evaluation and Refinement
  • Getting started in scikit-learn with the famous iris dataset
  • Training a Machine Learning Model with scikit-learn
  • Comparing Machine Learning Models in scikit-learn
  • Data Science Pipeline: Pandas, Seaborn, and scikit-learn
  • Data Science Pipeline: Pandas, Seaborn, and scikit-learn
  • Cross-validation for Parameter Tuning, Model Selection, and Feature Selection
  • Data Science Pipeline: Pandas, Seaborn, and scikit-learn
  • Efficiently Searching for Optimal Tuning Parameters
  • Evaluating a Classification Model: Confusion Matrix and ROC

  • Basic Plotting for Data Visualisation
  • Data Manipulation for Visualisation
  • 1D Data Analysis: Histograms, Boxplots, and Violin Plots
  • Proiect 2: Visualization of world GDP and carbon dioxide emission
  • Project 3: Using Folium Library for Geographic Overlays

  • Introduction to Power-Bi
  • Data Extraction Process
  • Data Transformations
  • Data Modeling and DAX
  • Data Visualization with Analytics
  • Power-Bi, Q&A & Data Insights

  • Simple Linear Regression
  • Multiple Linear Regression
  • NonLinear Regression
  • Regression Methods
  • Ridge Regression and Lasso Regression
  • Linear Regression and Decision Tree Regression
  • Random Forest Regression
  • Random Forest Classification
  • Decision Tree Classification
  • Boosting Algorithms
  • Bagging
  • K- Nearest Neighbours Classification
  • Naive Bayes Classification
  • K-Means Clustering
  • Hierarchical Clustering
  • K-Means and Hierarchical Clustering on the same dataset
  • Density-Based Spatial Clustering of Applications with Noise (DB-SCAN)
  • Support Vector Machines & Regression
  • Principal Component Analysis (PCA)
  • Applying Principal Component Analysis on Handwritten Digits Dataset
  • Market Basket Analysis

  • Evaluate the speed, runtime and memory dependencies of algorithmic models
  • Parallel computing systems such as SISD (Single Instruction SingleData Stream)
  • SIM (Single Instruction Multiple Data Streams)
  • MISD (Multiplelnstructions Single Data Stream)
  • MID (Multiple Instructions Multiple DataStreams)
  • How to use coding tools
  • Create, review and execute unit test cases
  • Corrective and Preventive actions for problems and defects can improve future designs
  • Measure and Optimize performance of the algorithm
  • Deployment of the Models

  • RDBMS Principals
  • Install a DB Engine
  • SQL syntax and Data types
  • Operators, Expressions, Comments
  • Data Definition Language (DDL)
  • Data Manipulation Language (DML)
  • Grant and Revoke
  • SQL Functions (Sum, Count, Avg etc)
  • Joins (self, left, right, full outer)
  • Queries and Sub Queries
  • SQL Clauses
  • SOL Window functions
  • SQL Real-time examples
  • SQL live Practice Session

  • Part 1: Introduction
  • LO1: Introduction to deep learning
  • LO2: The brief history of deep learning
  • L03: Single-layer neural networks: The perceptron algorithm
  • Part 2: Mathematical and computational foundations
  • L04: Linear algebra and calculus for deep learning
  • L05: Parameter optimization with gradient descent
  • L06: Automatic differentiation with PyTorch
  • L07: Cluster and cloud computing resources
  • Part 3: Introduction to neural networks
  • L08: Multinomial logistic regression / So max regression
  • L09: Multilayer perceptrons and backpropagation
  • L10: Regularization to avoid overfitting
  • L11: Input normalization and weight initialization
  • L12: Learning rates and advanced optimization algorithms
  • Part 4: Deep learning for computer vision and language modeling

  • Introduction to Foundation Models
  • The architecture of GPT-X Version
  • Transformers Architecture in Detail Prompt Engineering
  • Open Source (LLM'S)
  • Fine - Tuning open - AI models
  • TEXT, Image, Audio Processing using Gen - AI

  • ChatGPT
  • Llama 2
  • PALM 2
  • Mid Journey Images, DALL - E3
  • Mistral - 7B
  • Azure open AI
  • Gemini AI
  • Project: Chatbots Specific to Domain

  • Train your own LLM from Scratch like GPT-3.5 Develop your own ChatGPT from Scratch
  • Develop your own LLM application using Prompt Engineering RAG
  • Stable Diffusion Models

  • Intro to MLOps
  • Experiment Tracking in MLOps Orchestration
  • Deployment
  • Monitoring
  • Best Practices
  • Project
Mentors

We handpick subject-matter experts for video lectures and live sessions.

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Shivam Bhatiya
Data Analyst
5 Years of Experience

Shivam Bhatiya is a skilled data analyst with a strong background in various tools and technologies essential for effective data management and analysis. Currently employed in a prestigious organization, Shivam's expertise spans across Microsoft Excel, SQL Server, Python, and several data visualization tools including Power BI and Tableau.

5
50 students
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Rajendra Deopura
Data Scientists
7 of Experience

Rajendra Deopura is an esteemed mentor and trainer specializing in Data Science and Generative AI. With extensive experience in the field, he has joined the WiFi Learning training program to share his deep knowledge and practical insights with aspiring data scientists. Rajendra is known for his exceptional ability to demystify complex concepts and foster an engaging learning environment. His participation in this program underscores his commitment to nurturing the next generation of tech professionals and advancing the frontiers of AI and data science.

5
100 students
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Lokesh Ranjan
Data Scientist
5 Years of Experience

Lokesh Ranjan is a renowned mentor and trainer in Data Science and Generative AI, bringing a wealth of experience and expertise to the WiFi Learning training program. Known for his innovative teaching methods and deep understanding of AI technologies, Lokesh is dedicated to empowering learners to excel in this transformative field. His involvement in the program highlights his passion for education and his commitment to cultivating the skills of future data science professionals.

5
100 students
...

FEE:

Online Virtual Class Room

Enroll in any above batch and attend live class at scheduled time

42000

Offline Class Room

Visit our centre and enrol for the course, The course Fee will vary as per the Metro/ Non Metro or locality.

45000

Upcoming Batches


Learning Methodology

Our Learning Methdology is different from others. We focus on every aspect from start to end.

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Step 1

Enroll yourself by paying registration fee

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Step 2

Learn into live classes with your dedicated mentors

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Step 3

Solve quizzes & practice Sets

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Step 4

Resume Building & Interview Preparation

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Step 5

Get Placed

Industry Recognized Certification

Wifi Learning is a authorized certiport training center also we are Microsoft testing partner. You will get industry recognized certificates.

Success Stories of our Alumni

Find alumni profiles and know more about their career path, specialisation and more!

Mar-10-2024

Mr. Mukul

Mr. Mukul was working as a MIS Executive since a long time but his goal was to make his career as a Data Analyst. Due to limited skill sets he was not able to get opportunity. He came to know about Wifi Learning and it’s Data Analytics program through his friend. He joined this program and just after completion of his training, he got placed in Infosys at 20 LPA.

Mar-10-2024

Ms. Bindu

Ms. Bindu was working in Wonderman Thompson at gurgaon location due to some personal reasons she had been trying to relocate to Chennai location but due to market recession and all she could not get any opportunity. She joined our Data Analytics training program in February 2023. Even her training was not completed and she got a very good opportunity in IQ India at her preferred location Chennai with the salary package of 18 LPA.

May-26-2024

Dipti Sharma

Dipti Sharma, a recent graduate of the Digital Marketing program at WiFi Learning, has successfully transitioned into the professional world as an SEO specialist. Her comprehensive training in digital marketing equipped her with essential skills in search engine optimization, content creation, and data analytics. Dipti's dedication and proficiency were quickly recognized, leading to her current role where she leverages her expertise to enhance online visibility and drive organic traffic for her company. Her journey is a testament to the effectiveness of WiFi Learning's programs in preparing students for thriving careers in the digital marketing landscape.

Jun-01-2024

Rahul Prakash

Rahul Prakash is a dedicated and ambitious individual who recently transitioned from a college student to a working professional. Rahul landed a job as a data scientist at a leading tech company. His journey with Wifi Learning had opened doors he hadn't imagined possible.

Hear From
Wifi Learning's Alumini's
Mr Bhardwaj
Ms. Bindu

Application Process

There are 3 simple steps in the Application Process which are detailed below:

Step 1
Submit an application

Complete the application and include a brief statement of purpose. The latter informs our admission counseller why you're interested and qualified for the program.

Step 2
Application Review

A panel of admission counseller will review your application and statement of purpose to determine whether you qualify for acceptance

Step 3
Admission

An offer of admission will be made to qualified candidates, you can accept this offer by paying the program fee.

Our Google Reviews

We are delighted to share our recent Google review, which serves as a testament to the exceptional experiences we provide to our valued customers. This glowing review reflects the dedication and hard work of our entire team. Our commitment to delivering top-notch products/services and outstanding customer service is truly paying off, as evidenced by the kind words and five-star rating we received.

Reach Out to Us

  • If you want Training from Industry Experts
  • For corporate training
  • To hire our candidates
  • For empanelment as a trainer

Corporate Training Partners

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Times group is a leading brand in the field of Skills enhancement for corporate in IT and Non IT domain. Wifi learning has been associated with it since last 3 years and served for many corporate.

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Futurense is a company which works on Get Hired, Trained and deployed with fortune 500. We have been continuously working for futurense for various domain specially IT Domain.

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Jain University is a private deemed university in Bengaluru, India. Originating from Sri Bhagawan Mahaveer Jain College, it was conferred the deemed-to-be-university status in 2009. Wifi learning has been associated with it since 2020 and has been serving for B.Tch and MBA candidates.

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SBI Cards & Payment Services Ltd., previously known as SBI Cards & Payment Services Private Limited, is a credit card company and payment provider in India. SBI Card launched in October 1998 by State Bank of India

Our Alumni Work At

Top agencies and brands across the globe have recruited Wifi Learning Alumni.