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Complete Machine Learning & Data Science Program
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244k+ interested GeeksCourse Description
A 360-degree Learning experience designed for geeks who wish to get hands-on Data Science. Mentored by industry experts; learn to apply DS methods and techniques, and acquire analytical skills. So Master the Art of Data Science Now!
Beginner to Advance
26 Weeks
Enroll Now to Attend the Orientation Session Today!
Three 90 Challenge is Back and It's Bigger & Better than Ever!!
Complete 90% Course within 90 Days & Get 90% Refund!
In case of any queries reach us via Call/WhatsApp on +91-7011604098
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Course Overview
Data Science is one of the most in-demand jobs of the 21st century. A majority of companies now rely on data science to make informed decisions about their future and create an action plan. This course, a blend of self-paced learning modules and Live Guidance Sessions, will introduce you to the world of Data Science from collecting various types of data to storing, pre-processing, analyzing, model building and deploying them with latest Data Science techniques.
Key Highlights:
- 20+ Programming Tools & Libraries
- 40+ Industry Projects
- 1:1 Project Review
- Weekly Live Session with Industry Mentor
- Regular Live Doubt Solving Sessions with Industry Expert
- Career Essential Soft Skills Program
- Designed for both Students & Working Professionals
- Career Guidance Session
- 6 months of one-on-one 24X7 Doubt Assistance
Live Refresher and Industry Oriented Project Sessions will be scheduled on a weekly basis every Saturday & Sunday.
Three 90 Challenge
We were listening, and we heard you loud and clear. The Three 90 challenge is back and this is your chance to get 90% of your fee back in just 90 days!
What Sets Us Apart
Project-Based Learning
24 X 7 Doubt Support
Recognised Certification
Expert Mentors
Hands-on, practical exercises designed to enhance your learning experience and reinforce the concepts covered in the course. These projects serve as crucial components in the learning journey, as they allow you to apply the knowledge and skills gained in real-world scenarios. Eg: Wikipedia Scraper, PubG Predictive Analysis, Spell Checker & many more.
What Sets Us Apart
Hands-on, practical exercises designed to enhance your learning experience and reinforce the concepts covered in the course. These projects serve as crucial componen
A dedicated service provided with this course for free to help you overcome any doubt, at any time, and anywhere. So unlea
Boost your coding street cred! Excel in the tech landscape with our comprehensive course and prestigious certificates that
With a passion for teaching, our mentor(s) sessions will provide tailored guidance to all the aspiring coders. Launch a successful tech career with
Course Content
- Introducing Python - Python Basics, Operators, Loops, Functions, Strings, List, Tuples, Dictionary, Set, Object-oriented concepts(OOPs) and much more.
- Data Toolkit - Getting started with Files, Inventory Management System with Files, Inventory Management System with JSON, Mastering Numpy Arrays, Getting started with OS , Jupyter Notebook Setup, OS with Python, etc.
- Libraries - Numpy, Pandas, Matplotlib, Streamlit, etc.
- Maths for Data Analysis: Basic Probability for Data Science, Statistics, Probability Distribution, Inferential Statistics, and much more
- Maths for ML & AI: System of Linear Equation, Matrix, Vectors, and Calculus, etc
- Data Analysis with Python: Getting started with Pandas, Data Preprocessing with Google Play store, Introduction to EDA, Data Cleaning, Data Visualization, Data Analysis
Projects: Sugarcane Production, Black Friday Sales Data Analysis, Data Visualization on Heart Disease Dataset, GDP Analysis - Excel: Exploring Data, Preparing Data, Analysing Data, Important Interview Questions
Projects: Sales Data Analysis Using Covered Functions and Pivot Tables - Tableau - Introduction to Tableau, Understanding Parameters, Basic Plots, Fundamentals of Tableau, Designing the Plots, etc
Projects: Superstore Sales Analysis Dashboard, Covid-19 World Dashboard
- Web Scraping - Learn how to Scrape, Selenium, Image Dataset Creation, and much more
Projects: Wikipedia Scraper, Youtube Scrapper, Stock Images Infinite Scroll - SQL - Databases Fundamentals, SQL Fundamentals, Data Manipulation(DML), Querying, Intermediate SQL Queries, Joining and combining Data, Set Theory Clauses, Subqueries, Window Functions, Data Preprocessing and analysis
Projects: Sales and Revenue Analysis, Customer Segmentation and Profiling, Social Media Sentiment Analysis - Streamlit - Getting started with Streamlit, Page Beautification, Working with Data, Introduction to Data Visualization, Deployment
- Introduction to AI, How Data Science Comes into Play,
- Linear Regression, Multiple Linear Regression & Polynomial Linear Regression,
- Support Vector Machines, Decision Trees, Random Forests,
- Classification Algorithms, Clustering Algorithms, Feature Engineering, and much more
- Projects -
- MNIST Handwritten Digit Recogniser, Titanic Survival | EDA,
- PubG Predictive Analysis, Human Activity Recognition using Smartphone data,
- Predicting solar Irradiance
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