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Module 01 Course Overview
Module 01 Course Overview
 
 
Module 02 Revison
Module 02 Revison
 
 
Module 03 Doubt Clearing
Module 03 Doubt Clearing
 
 
Module 04 Orientation
Module 04 Orientation
 
 
Module 05 Intro To Python
Module 05 Intro To Python
 
 
Module 06 Python Conditions & Loops
Module 06 Python Conditions & Loops
 
 
Module 07 String Manippulation & Operators
Module 07 String Manippulation & Operators
 
 
Module 08 Strings List
Module 08 Strings List
 
 
Module 09 Tuples, Set, Dictionaries
Module 09 Tuples, Set, Dictionaries
 
 
Module 10 Functions
Module 10 Functions
 
 
Module 100 YOLO & RCNN Assignment
Module 100 YOLO & RCNN Assignment
 
 
Module 101 GAN
Module 101 GAN
 
 
Module 102 NLP
Module 102 NLP
 
 
Module 103 Big Data
Module 103 Big Data
 
 
Module 104 Big Data - Spark
Module 104 Big Data - Spark
 
 
Module 105 NLP Projects
Module 105 NLP Projects
 
 
Module 106 NLP Live
Module 106 NLP Live
 
 
Module 107 Big Data Live
Module 107 Big Data Live
 
 
Module 108 Data Analytics - Tableau
Module 108 Data Analytics - Tableau
 
 
Module 109 Tableau
Module 109 Tableau
 
 
Module 11 Functions
Module 11 Functions
 
 
Module 110 Power BI
Module 110 Power BI
 
 
Module 12 OOPS
Module 12 OOPS
 
 
Module 13 Quiz
Module 13 Quiz
 
 
Module 14 Assignments
Module 14 Assignments
 
 
Module 15 Python Task
Module 15 Python Task
 
 
Module 16 Python Task
Module 16 Python Task
 
 
Module 17 OOPS
Module 17 OOPS
 
 
Module 18 OOPS Task
Module 18 OOPS Task
 
 
Module 19 OOPs Concepts
Module 19 OOPs Concepts
 
 
Module 20 Files
Module 20 Files
 
 
Module 21 Exception Handling
Module 21 Exception Handling
 
 
Module 22 Exception Handling
Module 22 Exception Handling
 
 
Module 23 Multithreading
Module 23 Multithreading
 
 
Module 24 Memory Management
Module 24 Memory Management
 
 
Module 25 Database
Module 25 Database
 
 
Module 26 Database
Module 26 Database
 
 
Module 27 Web API
Module 27 Web API
 
 
Module 28 Flask
Module 28 Flask
 
 
Module 29 Flask
Module 29 Flask
 
 
Module 30 Python Project Web Scrapping
Module 30 Python Project Web Scrapping
 
 
Module 31 Python Project Image Scrapper
Module 31 Python Project Image Scrapper
 
 
Module 32 Pandas Basic
Module 32 Pandas Basic
 
 
Module 33 Pandas Advance
Module 33 Pandas Advance
 
 
Module 34 Pandas Advance
Module 34 Pandas Advance
 
 
Module 35 Numpy
Module 35 Numpy
 
 
Module 36 Visualization
Module 36 Visualization
 
 
Module 37 Practice Questions
Module 37 Practice Questions
 
 
Module 38 Practice Solutions
Module 38 Practice Solutions
 
 
Module 39 Visualization
Module 39 Visualization
 
 
Module 40 Visualization
Module 40 Visualization
 
 
Module 41 Visualization
Module 41 Visualization
 
 
Module 42 Statistics Basic
Module 42 Statistics Basic
 
 
Module 43 Statistics Basic
Module 43 Statistics Basic
 
 
Module 44 Statistics Advance
Module 44 Statistics Advance
 
 
Module 45 Statistics Advance
Module 45 Statistics Advance
 
 
Module 46 Statistics Advance
Module 46 Statistics Advance
 
 
Module 47 Statistics Advance
Module 47 Statistics Advance
 
 
Module 48 Statistics Advance
Module 48 Statistics Advance
 
 
Module 49 Statistics Advance
Module 49 Statistics Advance
 
 
Module 50 Statistics Advance
Module 50 Statistics Advance
 
 
Module 51 Intro to ML
Module 51 Intro to ML
 
 
Module 52 Intro to ML
Module 52 Intro to ML
 
 
Module 53 Feature Engineering
Module 53 Feature Engineering
 
 
Module 54 Feature Engineering
Module 54 Feature Engineering
 
 
Module 55 Feature Engineering
Module 55 Feature Engineering
 
 
Module 56 Feature Engineering
Module 56 Feature Engineering
 
 
Module 57 Feature Engineering
Module 57 Feature Engineering
 
 
Module 58 Feature Engineering
Module 58 Feature Engineering
 
 
Module 59 Exploratory Data Analysis
Module 59 Exploratory Data Analysis
 
 
Module 60 Exploratory Data Analysis
Module 60 Exploratory Data Analysis
 
 
Module 61 Regression
Module 61 Regression
 
 
Module 62 Regression
Module 62 Regression
 
 
Module 63 Regression
Module 63 Regression
 
 
Module 64 Regression
Module 64 Regression
 
 
Module 65 Regression
Module 65 Regression
 
 
Module 66 Regression
Module 66 Regression
 
 
Module 67 Logistics Regression
Module 67 Logistics Regression
 
 
Module 68 Decision Trees
Module 68 Decision Trees
 
 
Module 69 Support Vector Machines
Module 69 Support Vector Machines
 
 
Module 70 Naive Bayes
Module 70 Naive Bayes
 
 
Module 71 Ensemble Techniques
Module 71 Ensemble Techniques
 
 
Module 72 Boosting Ensemble Techniques
Module 72 Boosting Ensemble Techniques
 
 
Module 73 KNN
Module 73 KNN
 
 
Module 74 PCA
Module 74 PCA
 
 
Module 75 K-Means Clustering
Module 75 K-Means Clustering
 
 
Module 76 Anamoly
Module 76 Anamoly
 
 
Module 77 Time Series
Module 77 Time Series
 
 
Module 78 Diamond Price Prediction Project
Module 78 Diamond Price Prediction Project
 
 
Module 79 Neural Network A Simple Perception
Module 79 Neural Network A Simple Perception
 
 
Module 80 ML Project Walter Fault
Module 80 ML Project Walter Fault
 
 
Module 81 ML Project Walter Fault
Module 81 ML Project Walter Fault
 
 
Module 82 Neural Networks
Module 82 Neural Networks
 
 
Module 83 Neural Network
Module 83 Neural Network
 
 
Module 84 ML Project
Module 84 ML Project
 
 
Module 85 Neural Networks
Module 85 Neural Networks
 
 
Module 86 ML Project
Module 86 ML Project
 
 
Module 87 Tensorflow and Pytorch
Module 87 Tensorflow and Pytorch
 
 
Module 88 Credit Card Frault Detection
Module 88 Credit Card Frault Detection
 
 
Module 89 Live CNN
Module 89 Live CNN
 
 

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🚀 PW Skills Data Science Master Course

By Subhash Kumar
August 1, 2024

Welcome to the future of data! In an era where data drives innovation, decision-making, and industry transformation, our Data Science Master course is your gateway to a thriving career in this dynamic field. Whether you’re just starting out or looking to upskill, our programme is tailored for all levels of learners.

🌟 Why Choose Our Data Science Course?

Embark on a transformative journey with us and unlock the power of data. Our course is designed to provide you with hands-on experience and deep insights into the world of data science.

What You'll Learn

  • 📊 Data Collection and Preprocessing: Master the art of extracting, cleaning, and transforming data to ensure it’s accurate and ready for analysis.
  • 🔍 Exploratory Data Analysis (EDA): Use statistical summaries and visualizations to uncover trends and insights in your data.
  • 📈 Statistical Modeling: Gain expertise in creating models with regression analysis, time series analysis, and experimental design.
  • 🤖 Machine Learning: Dive into algorithms and techniques for predictive modeling, including supervised, unsupervised, and reinforcement learning.
  • 🎨 Data Visualization: Learn to communicate insights through interactive dashboards, charts, and graphs that tell compelling stories.
  • 💾 Big Data Technologies: Get hands-on with tools like MapReduce, NoSQL databases, Apache Hadoop, and Apache Spark.
  • 🧠 Deep Learning and Neural Networks: Explore advanced methods for training deep neural networks and solving complex problems.

Course Features

  • 👩‍🏫 Expert Faculty: Learn from top-notch data scientists and industry experts who provide personalized attention and real-world insights.
  • 💰 Value for Money: Our affordable pricing ensures you get a thorough education and practical experience without breaking the bank.

📚 Course Overview

What is a Data Science Course?

A data science course equips you with the skills to analyze vast datasets and derive actionable insights. Combining mathematics, statistics, computer science, and domain expertise, you’ll learn to identify patterns, make predictions, and solve complex problems.

Topics Covered

  • Python
  • Statistics
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Big Data
  • Apache Spark
  • Apache Kafka
  • Data Analytics
  • PowerBI
  • Tableau
  • Databases
  • Data Science Workflow
  • Real-Time Data Science Projects

Best Data Science Courses Online in 2023

Physics Wallah’s PW Skills stands out with its focus on experiential learning and real-world projects. By the end of the course, you’ll be well-equipped to tackle data science challenges and make an impact in the industry.

Data Science Master Course Details

  • 📅 Batch Name: IMPACT 2.0
  • 🚀 Start Date: May 6, 2023
  • ⏰ Class Timings: Weekly Scheduled
  • 💡 Doubt Sessions: Live Doubt Session on Monday and Saturday, 3 PM to 6 PM IST
  • 💸 Course Fees: Rs. 3000

📂 Course Repository

This repository contains 110 modules with a wealth of resources to enhance your learning experience:

  • 📚 Study Materials: Comprehensive documents and guides to support your learning.
  • 📝 Assignments: Practical tasks to reinforce your understanding and skills.
  • 🔍 Solutions: Detailed solutions to help you learn and review.
  • 💼 Projects: Real-world projects to apply your knowledge and gain hands-on experience.

Join us and turn your passion for data into a powerful career with our expert-led Data Science Master course. Dive into a world of data and emerge as a data science professional ready to conquer the industry!

Ready to unlock the secrets of data? Use this Repository now and transform your future!
IF YOU FIND THIS REPOSITORY HELPFUL THEN PLEASE GIVE A STAR 🌟🌟

THANK YOU😉👍

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