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Data Science Training Program

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interested count31k+ interested Geeks

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

levelBeginner to Advancecourse duration10 Weeksseats-left3 Seats Left
interested count31k+ interested Geeks
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Course Overview

Why Choose This Course?

  • Comprehensive Program: Covers all key aspects of Data Science.
  • Doubt Resolving Sessions: Get live support from industry experts.
  • Extensive Learning: 100+ hours of live classes and recorded lectures.
  • Skill Assessments: Participate in 8+ contests.
  • Practical Experience: Solve 10+ design problems and case studies.
  • Knowledge Tests: Complete 15+ MCQ tests.
  • Career Support: Resume building and industry-recognized certificate.
  • Get additional Interview Questions to prepare you for interviews
  • Supplementary Certification Questions materials provided for certifications such as Google, AWS, and IBM.

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
  • Project on Chatbot using LLM's 
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What Sets Us Apart

Project-Based Learning

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...
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

Day 2: Introduction to Python

  • Basic syntax and data types in Python
  • Working with variables and operators
  • Using built-in functions and libraries
  • Conditional statements: IF Else
02Week 2: Data Manipulation and Analysis with Python

Day 1: Data Structures and Functions in Python

  • Lists, tuples, and dictionaries
  • Loops and user-defined functions
  • Functions such as map, filter, and lambda

Day 2: Data Analysis with NumPy and Pandas

  • Introduction to NumPy and Pandas
  • Importing and exporting data
  • Data cleaning and preprocessing
03Week 3: Exploratory Data Analysis (EDA)

Day 1: Data Cleaning and Preprocessing with Pandas

  • Handling missing data
  • Removing duplicates and dealing with outliers
  • Cleaning and adjusting data

Day 2: Exploratory Data Analysis (EDA)

  • Descriptive statistics and data summarization
  • Grouping and aggregating data
  • SQL-like operations in data
04Week 4: Data Visualization and Final Project

Class 1: Data Visualization with Matplotlib and Seaborn

  • Creating basic plots (line plots, scatter plots, histograms)
  • Customizing and styling visualizations
  • Pair plots, heatmaps, and advanced plotting techniques

Day 2: Final Project and Case Studies

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

Harsh
Harsh
Placed at Marvell
In this course I was able to understand all the concepts clearly and also I did projects which helped me to get hands on practice on language and tools.

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.
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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.
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Eshant Das
Placed at GeeksforGeeks
As a newbie in the field of Data Science, Python, and Machine Learning, this course was extremely helpful to me in a variety of ways. First, it was so easy to understand that I was able to write fluently in a basic level python course. Secondly, the questions that were provided with each section really helped me to gain confidence. The order in which the course was aligned is fantastic I found it to be incredibly simple to understand the theory, and I was also able to answer questions based on data science thanks to that course. Mentors gives an extremely engrossing introduction to all facets of machine learning.
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ABDULLAH FAZILI
Placed at GeeksforGeeks
Before joining the Geeks for Geeks "Data Science live" course, I had only a basic knowledge of python. But after joining the live classes I acquired all the required skills from mentors who are real-life industry experts. They gave me the confidence I needed to work on the projects and how you'll turn boring raw data into something valuable using various libraries like Seaborn, Matplotlib, Pandas, Numpy, etc. The best aspect of my course is the material offered by geeks for geeks, and the journey goes from basic to intermediate to advanced level. It helped me plenty. I expressed my gratitude towards the GeeksforGeeks family, in particular to Faculty of GeeksforGeeks, who was so nice as to answer all of our queries patiently.
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Satti Satya Reddy
Placed at SHIPGLOBAL
The "Complete Machine Learning and Data Science Program" offered a robust and thorough foundation in both the theoretical and practical aspects of machine learning and data science. Covering essential topics such as data preprocessing, model selection, and evaluation, the course provided a deep understanding of the core principles that drive machine learning algorithms. Through practical exercises and projects, I was able to apply this theoretical knowledge to real-world datasets, significantly enhancing my problem-solving skills and familiarity with tools like Python, TensorFlow, and sci-kit-learn. The program also explored advanced topics such as Support Vector Machines, Tree Models, and Advanced Regression, equipping me with the expertise to address complex machine-learning challenges. The knowledge and skills I gained have not only prepared me for roles in data science and machine learning but have also improved my competitiveness in the job market.
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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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Manish Shee
Placed at HTL Semiconductor & Software Company
It helps me to lot more things about Some Mathematics concept on Algebra, Statistics, Probability, Calculus topics, Data Analysis(SQL, Tableau, Excel, Web Scrapping, Power BI), Machine Learning Algorithms, Deep Learning & Gen AI Concepts.
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Poojith Reddy Menthem
Placed at Infozaint Security
I'm excited to continue developing my machine learning project skills and look forward to further enhancing my expertise in this area.

Frequently Asked Questions

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