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Data Science Training Program

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interested count15k+ interested Geeks

Course Description

Unlock the world of data science with our Data Science Certification Training Program. Explore ML, Python, Advanced Analytics, NLP, LLMs, its application in modern AI, and much more in this comprehensive course

levelBeginner to Advancecourse duration12 Weeks
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Complete 90% Course within 90 Days & Get 90% Refund!
Extra Benefits: 1:1 Mock Interview & Job Assistance with Resume Review

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Course Overview

Data Science stands as one of the most promising and sought-after professions in the 21st century. Its demand is skyrocketing due to a digital, programming-centric, and analytically driven field. AI-driven Data Science revolutionizes healthcare, finance, entertainment, and social media, enabling data-driven decisions and enhancing apps like ChatGPT, BERT, Midjourney, and DALL.E, making them smarter and more responsive.

Our Data Science Certification Training Program is designed to bridge the gap by equipping you with the understanding of Python, Data Analysis, Machine Learning, and Mathematics. We delve into the intricacies of Deep Learning, Natural Language Processing (NLP), and their wide-ranging applications in the modern AI industry. Our program goes beyond the technical aspects. We understand the daily challenges and pain points faced by data scientists, and we'll guide you in developing practical solutions.

Key Highlights:

  • 3 months of Live Immersive Program
  • Live Doubt Sessions by Industry Experts
  • Master Python and its data manipulation libraries
  • Explore exploratory data analysis (EDA) and data visualization
  • Dive into statistical analysis and hypothesis testing
  • Implement supervised learning and unsupervised learning models
  • Work with classification and regression algorithms
  • Dive deeper into advanced machine-learning models
  • NLP and Deep Learning applications
  • How AI and LLM are revolutionizing the world
  • What is Prompt Engineering and ChatGPT

Projects:

  • Performing Exploratory data analysis on Airbnb data.
  • Predict the income of an individual based on its social and financial attributes supervised learning
  • Market Basket Analysis unsupervised learning
  • Working on sentiment analysis for understanding natural language processing
  • Identifying hand written numbers from images - Computer Vision
  • Image and voice classification Deep learning model
    and many more

By enrolling in our program, you won't just gain knowledge; you'll gain insight into the real-world scenarios that data scientists navigate daily. Join us in mastering the art and science of data and AI, and empower yourself to thrive in this digital era.

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Three 90 Challenge

We were listening, and we heard you loud and clear. Now get 1:1 Mock Interview & Job Assistance which includes exclusive opportunities and resume review. Register and connect with our course counselor today to learn more!

90 Days

What Sets Us Apart

Project-Based Learning

Limited Batch Strength

24 X 7 Doubt Support

Recognised Certification

Expert Mentors

Course Features
Project-Based Learning

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.

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What Sets Us Apart

Project-Based Learning

Hands-on, practical exercises designed to enhance your learning experience and reinforce the concepts covered in the course. These projects serve as crucial componen

Read more...
Limited Batch Strength

Experience personalized learning and focused attention with our limited batch strength of 55-60 candidates, ensuring optimal student-teacher interac

Read more...
24 X 7 Doubt Support

A dedicated service provided with this course for free to help you overcome any doubt, at any time, and anywhere. So unlea

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Recognised Certification

Boost your coding street cred! Excel in the tech landscape with our comprehensive course and prestigious certificates that

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Expert Mentors

With a passion for teaching, our mentor(s) sessions will provide tailored guidance to all the aspiring coders. Launch a successful tech career with

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Course Content

01Week 1: Introduction to Data Science and Machine Learning

Day 1: Introduction to Data Science and Machine Learning

  • Overview of Data Science
  • Fundamentals of Machine Learning
  • Types of Machine Learning Algorithms
  • Applications of Data Science and Machine Learning
  • Introduction to Python programming language
  • Setting up Python environment
  • Running the first Python program

Day 2: Introduction to Python

  • Basic syntax and data types in Python
  • Working with variables and operators
  • Using built-in functions and libraries

Day 3: Know more about Python

  • Lists, tuples, and dictionaries
  • Conditional statements and loops
  • User-defined functions
  • functions such as map, filter, lambda

Day 4: Class & OOPs Concepts

  • Class & OOPs Concepts

Get recorded videos on Python for Data Science

02Week 2: Working on Data with Python

Day 1: Data Cleaning and Preprocessing with Pandas

  • Import and Exporting data
  • Handling missing data
  • Removing duplicates and dealing with Outliers
  • Cleaning and adjustments in data

Day 2: Exploratory Data Analysis (EDA) with Pandas

  • Descriptive Statistics and data summarization
  • Grouping and Aggregating data
  • SQL-like operation in data

Day 3: Data Visualization with Matplotlib

  • Creating Basic Plots (line plots, scatter plots, histograms)
  • Customizing and Styling Visualizations
  • Creating Informative and Aesthetically Pleasing Visualizations
  • Pair plots, Heatmaps, and Advanced Plotting technique

Day 4:Knowing about the data

  • Types of analysis - univariate, multivariate analysis
  • creating a hypothesis of project approach
  • Introduction to statistical tests and hypothesis testing
  • Implementing statistical tests in Python

Get recorded videos on Data Analysis with Python

03Week 3: Data analysis using Python

Day 1: Final Project and Case Studies

  • Participants work on a real-world data analysis project
  • Applying learned Python skills to analyze and visualize data

Day 2: Feature Transformation 

  • Encoding
  • Scaling

Day 3: Feature Reduction 

  • Feature Selection 
  • Dimetional Reduction

Day 4: Feature Balancing

  • Smote, ENN, Random Sampling


04Week 4: Introduction to Maths in data science & Basic - ML Algorithms

Day 1: Probability and Statistics

  • Basic Probability Concepts
  • Random Variables
  • Probability Distributions
  • Statistical Inference
  • Hypothesis Testing
  • Regression Analysis

Day 2: Statistical Analysis with Python

  • Measures of central tendency and dispersion
  • Hypothesis testing and confidence intervals
  • Correlation and regression analysis
  • ANOVA and chi-square tests

Day 3: Supervised learning

  • Classification
  • Naive Bayes 

Day 4: Supervised Learning

  • KNN
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Reviews and Ratings

Ramratan Sharma
Ramratan Sharma
Placed at The Bharat Groups
Learning will never become old, you must update yourself over time, and it will improve every aspect of life. Great thanks to GeeksforGeeks for quality content, your Data Science live course is awesome, especially thanks to Sandeep Jain for great content.

Reviews and Ratings

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Prateek Singh
Placed in Ericsson Global India Limited
I found the course to be very informative and well-structured. The materials and resources provided were helpful and gave me a solid understanding of the subject matter. I especially appreciated the way the content is delivered. The teaching style was engaging and made the material accessible and easy to understand. Enthusiasm for the subject matter was contagious and kept me motivated throughout the course. Live Lectures and Projects are just made to another level in this course. Thank you GeeksforGeeks for this course.
user profile
Sagar Patle
Got Placed at Quantity kiosk Technology
This course helped me enhance my data analytics skills, enabling me to analyze large datasets effectively, derive meaningful insights, and make informed decisions based on data-driven evidence. Outstanding Course, really it contains amazing content.

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