

Designed for students and aspirants preparing for Coding exams who need organized study routines without getting lost in YouTube rabbit holes.
No prior paid software or specialized tools required. Start directly with lesson #1 and build conceptual depth at your own pace.
Master all 244 lessons step-by-step, generate personal revision notes, and retain difficult topics through active recall and structured scheduling.
Full index of topics and video runtimes included in this course.
Session 1 - Python Fundamentals | CampusX Data Science Mentorship Program | 7th Nov 2022
2:10:23Session 2 - Operators + If-Else + Loops | CampusX Data Science Mentorship Program | 8th Nov 2022
2:11:35Session 3 - Python Strings | CampusX Data Science Mentorship Program | 9th Nov 2022
2:22:54Programming Problems on Strings | Session 3 Supplementary Session
29:12How to Build a Portfolio Website for Data Science
48:14Session on Week 1 Task Solutions | Paid Members
2:14:42Session on Time Complexity | Friday Paid Session
1:42:01Week 1 Doubt Clearance + Interview Preparation | Paid Members
1:29:53Session 4 - Lists in Python | Data Science Mentorship Program(DSMP) 2022-23
2:07:02Session 5 - Tuples + Sets + Dictionary | Data Science Mentorship Program(DSMP) 2022-23
2:16:37Session 6 - Functions in Python | Data Science Mentorship Program(DSMP) 2022-23
2:15:47Week 1 Task 3 Solutions | CampusX DSMP 2022-23 | Paid Session
1:06:10Career QnA Live Session for Paid Members | Data Science Mentorship Program(DSMP) 2022-23
1:59:43Array Interview Questions | Paid Members | Data Science Mentorship Program(DSMP) 2022-23
2:17:10Interview Questions + Doubt Clearance | Paid Members | Data Science Mentorship Program(DSMP) 2022-23
1:27:11Week 2 - Task 4 Solutions | Paid Session | Data Science Mentorship Program | DSMP 2022-23
46:08OOP Part 1 | Class & Object | Data Science Mentorship Program(DSMP) 2022-23
2:13:57Task 5 Solutions | Paid Members | Data Science Mentorship Program (DSMP) 2022-23
47:26OOP Part 2 | Encapsulation & Static Keyword | Static | Data Science Mentorship Program(DSMP) 2022-23
2:15:51Task 6 Solutions | Paid Recording | DSMP 2022-23
45:52OOP Part 3 | Inheritance & Polymorphism | Static | Data Science Mentorship Program(DSMP) 2022-23
2:14:55OOP Project | Friday Paid Session | Data Science Mentorship Program(DSMP) 2022-23
2:15:09New Website Launch | DSMP 2022-23
21:17Week 3 - Interview Questions | Data Science Mentorship Program(DSMP) 2022-23
1:51:19Task 7 Solutions | Paid Recording | DSMP 2022-23
31:17What is Abstraction | OOP Concept | Python
14:53Session 10 - File Handling + Serialization & Deserialization | DSMP 2022 - 23
2:05:19Task 8 Solutions | Paid Recording | DSMP 2022-23
56:19Session 11 - Exception Handling & Modules and Packages | DSMP 2022 - 23
1:29:58Task 9 Solutions | Paid Recording | DSMP 2022-23
25:26Session 12 - Decorators & Namespaces | DSMP 2022 - 23
1:59:01Schedule for December + Program Improvements | CampusX Data Science Mentorship Program (DSMP 2022)
21:05Recursion using Python | Recursion with examples | Memoization
45:07What is Iterators in Python?
38:09Generators in Python | Advanced Python Programming
24:53Task 10 Solutions | Paid Member Recording
45:01GUI development using Python | Friday Paid Session | DSMP 2022-23
2:47:55Week 4 - Interview Questions | Paid Recordings | DSMP 2022-23
2:39:14Task 11 Solutions | Paid Recording | DSMP 2022-23
26:31Task 12 Solutions | Paid Recording | DSMP 2022-23
35:09Session 13 - Numpy Fundamentals | Data Science Mentorship Program (DSMP) 2022-23 | Free Session
2:01:53Resume Building for Data Scientist | Career Pe Charcha | DSMP 2022-23
48:09Session 14 - Advanced Numpy | Data Science Mentorship Program (DSMP) 2022-23 | Free Session
1:49:15Feedback Form for November | Data Science Mentorship Program(DSMP) 2022-23
3:59Session 15 - Numpy Tricks | Data Science Mentorship Program (DSMP) 2022-23 | Free Session
1:30:35Session on Web Development using Flask | Paid Session | DSMP 2022-23
2:33:33Task 13 Solutions | Paid Recording | DSMP 2022-23
50:31Task 14 Solutions | Paid Recording | DSMP 2022-23
24:17Task 15 Solutions | Paid Recording | DSMP 2022-23
21:39Session 16 - Pandas Series| Data Science Mentorship Program (DSMP) 2022-23 | Free Session
2:07:18Session 17 - Pandas DataFrame | Data Science Mentorship Program (DSMP) 2022-23 | Free Session
2:08:27Important Series Methods | Supplementary Session | DSMP 2022-23
25:09Session 18 - Important DataFrame Methods | Data Science Mentorship Program (DSMP) 2022-23
2:12:15API Development using Flask | Paid Session | DSMP 2022-23
2:43:03Week 5 - Numpy Interview Questions | Paid Session | DSMP 2022-23
2:34:07Session 19 - GroupBy Object in Pandas | Data Science Mentorship Program (DSMP) 2022-23
2:09:07Task 16 Solutions | Paid Recording | DSMP 2022-23
13:49Task 17 Solutions | Paid Recording | DSMP 2022-23
16:26Task 18 Solutions | Paid Recording | DSMP 2022-23
39:57Session 20 - Merging, Joining & Concatenating | DSMP 2022-23
2:15:18Session 21 - MultiIndex Series and DataFrames | DSMP 2022-23
1:57:55Session on Streamlit | Paid Session | DSMP 2022-23
2:24:47Pandas Case Study 1 | Indian Startup Funding
2:23:20Session 1 on Git Fundamentals
2:11:06Task 19 Solutions | Paid Recording | DSMP 2022-23
30:50Task 20 Solutions | Paid Recording | DSMP 2022-23
57:42Session on Git and Github Part 2 | Paid Session | DSMP 2022-23
2:09:17Talking Data Science with Pranjal Yadav | Guest Session
1:24:43CampusX DSMP 2023 January Schedule
9:57Session 22 - Vectorized String Operations | DateTime in Pandas | Pivot Table | DSMP 2022-23
2:06:25Pandas Case Study Time Series Analysis
2:27:41Pandas Case Study 2 Working with textual data
2:40:09Session 23 - Plotting using Matplotlib | DSMP 2022-23
2:06:30Task 21 Solutions | Recorded Session | DSMP 2023
25:47Session 24 - Advanced Matplotlib | DSMP 2022-23
2:13:23Session on Plotly Express
2:14:55Session on Plotly Part 2
2:09:33Session 25 - Plotting using Seaborn | DSMP 2022-23
1:50:09Task 22 Solutions | Paid Recordings | DSMP 2023
42:14Session 26 - Plotting using Seaborn Part 2 | DSMP 2022-23
1:41:05Session on Open Source Software Part 1
1:00:10Session 27 - Data Gathering | Data Analysis Process | DSMP 2023
2:50:04Session on Open Source Software Part 2 | Paid Session
1:09:38Session 28 - Data Assessing and Cleaning | DSMP 2022-23
2:26:37Task 23 Solutions | Paid Recording | DSMP 2023
43:11Session on ETL using AWS RDS | Paid Session | DSMP 2023
2:13:47Session on Advanced Web Scraping using Selenium
3:06:13Session on Data Cleaning Case Study - Smartphone dataset
2:10:49Month of SQL | CampusX DSMP 2023 | Feb Schedule
13:15Build a Data Scientist's Dream LinkedIn Profile with ChatGPT
45:45Session 29 - Exploratory Data Analysis | Data Analysis Process | DSMP 2022-23
2:30:10Task 25 Solutions | Paid Recording | DSMP 2023
20:42Task 26 Solutions | Paid Recording | DSMP 2023
30:15Task 24 Solutions | Paid Recording | DSMP 2023
40:11Session 2 on Data Cleaning - Smartphones Dataset | Paid Session | DSMP 2023
2:28:57Session 30 - Database Fundamentals | DSMP 2022-23
2:15:15Session on EDA Case Study - Smartphones Dataset | Paid Session | DSMP 2023
2:29:36Task 27 Solutions | Paid Recording | DSMP 2023
56:44Session 31 - SQL DDL Commands | DSMP 2023
2:04:45Session 1 on Tableau | Paid Session | DSMP 2023
1:43:58Session 32 - SQL DML Commands | DSMP 2023
2:04:00Session 33 - SQL Grouping + Sorting | DSMP 2023
2:05:28Career Pe Charcha - Soft Skills Masterclass | DSMP 2023
1:12:40Session 34 - SQL Joins| DSMP 2023
2:10:29Career QnA for Paid Members
1:48:08Session 2 on Tableau - Sales Dataset
2:16:43Session 35 - Subqueries in SQL | DSMP 2023
2:18:27SQL Case Study 1 | Zomato Dataset
2:10:01Task 32 Solutions
14:21Making a Flights Dashboard using Python and SQL | Paid Recording | DSMP 2023
2:03:26SQL Interview Questions Part 1
2:04:31Session 36 - Window Functions in SQL | DSMP 2023
1:40:05Task 33 Solutions | Paid Recording | DSMP 2023
34:51Career Pe Charcha | Markdown Basics | How to build a Kickass Github Profile
25:40Session 37 - Window Functions Part 2 | SQL Tutorials
47:11Session 37 (Cont..) - Window Functions Part 3 | SQL Tutorial
53:24Session on Data Cleaning using SQL | Laptops Dataset
2:18:45Session on EDA using SQL | Laptops Dataset
2:09:18CampusX DSMP March Schedule | Dher Sara Statistics!!!
7:37Task 34 Solutions | Paid recording | DSMP 2023
29:22Task 35 Solutions | Paid Recording | DSMP 2023
36:02CampusX Data Science Mentorship Program 2023
21:43Session 38 - Descriptive Statistics Part 1 | DSMP 2023
1:52:26Session on Datetime in SQL | Paid Session | DSMP 2023
2:14:06Session 39 - Descriptive Statistics Part 2 | DSMP 2023
1:55:42Session 40 - Probability Distribution Functions - PDF, PMF & CDF | DSMP 2023
2:09:55SQL Datetime Case Study on Flights Dataset | Paid Session | DSMP 2023
1:52:15Session on Database Design | SQL Data Types | Database Normalization
2:25:38Session 41 - Normal Distribution | DSMP 2023
2:01:29Task 36 Solutions
35:47Session 42 - Non-Gaussian Probability Distributions | DSMP 2023
2:16:04Session on Views and User Defined Functions in SQL | Paid Session | DSMP 2023
1:54:18Session on Transactions & Stored Procedures
2:21:17Session 43 - Central Limit Theorem | DSMP 2023
1:51:35Session 44 - Confidence Intervals | DSMP 2023
2:10:01April Schedule | CampusX Data Science Mentorship Program 2023
12:00Session 45 - Hypothesis Testing Part 1 | DSMP 2023
1:59:16Session 46 - Hypothesis Testing Part 2 | p-values | t-tests | DSMP 2023
2:11:36Session on Chi Square Tests
2:15:21Session on ANOVA | Paid Zoom Session
1:58:10Supercharge Your ML Journey: Mastering Vectors in Linear Algebra - Part 1
1:31:58Linear Algebra Part 2 | Matrices
2:26:34Linear Algebra Part 3 | Matrices Intuition
2:10:01Introduction to Machine Learning
3:26:18Simple Linear Regression | Lecture 49 | DSMP 2023
2:11:50Session 50 - Multiple Linear Regression | DSMP 2023
1:49:41Level Up Your Data Science Skills with ChatGPT | Unlock the Secrets of AI-Assisted Learning
50:48Session on Optimization - The Big Picture
2:09:10Session on Differential Calculus
2:25:48Gradient Descent From Scratch | End to End Gradient Descent | Gradient Descent Animation
1:57:56Batch Gradient Descent with Code Demo | Simple Explanation in Hindi
1:04:49Stochastic Gradient Descent
49:35Mini-Batch Gradient Descent
22:10Doubt Clearance Session on Linear Regression
2:09:16Session 1 on Regression Analysis
2:16:56DSMP 2023 May Schedule | CampusX Data Science Mentorship Program
5:31Session 2 on Regression Analysis
1:54:09Polynomial Regression | Machine Learning
26:46Session on Assumptions of Linear Regression
2:25:44Session 53 - Session on Multicollinearity | DSMP 2023
2:11:54Session 54 - Feature Selection Part 1 | Filter Methods | Variance Threshold | Chi-Square | DSMP 2023
2:06:00Session 55 - Feature Selection Part 2 | Wrapper Methods | DSMP 2023
1:53:42Session 3 on Feature Selection | Embedded Methods
1:59:29Regularization Part 1 | Bias Variance Trade-off
2:02:51Regularization Part 2 | What is Regularization?
1:56:23What is K Nearest Neighbors? | KNN Explained in Hindi | Simple Overview in 1 Video | CampusX
52:01Doubt Clearance Session on Regularization
1:09:17Session on Advanced KNN
2:06:01Ridge Regression Part 1 | Geometric Intuition and Code | Regularized Linear Models
19:58Ridge Regression Part 2 | Mathematical Formulation & Code from scratch | Regularized Linear Models
43:41Ridge Regression Part 3 | Gradient Descent | Regularized Linear Models
18:435 Key Points - Ridge Regression | Part 4 | Regularized Linear Models
30:17Lasso Regression | Intuition and Code Sample | Regularized Linear Models
28:37Why Lasso Regression creates sparsity?
24:30ElasticNet Regression | Intuition and Code Example | Regularized Linear Models
11:41Accuracy and Confusion Matrix | Type 1 and Type 2 Errors | Classification Metrics Part 1
34:08Precision, Recall and F1 Score | Classification Metrics Part 2
42:42Curse of Dimensionality
15:25Principle Component Analysis (PCA) | Part 1 | Geometric Intuition
33:54Principle Component Analysis (PCA) | Part 2 | Problem Formulation and Step by Step Solution
56:17Principle Component Analysis(PCA) | Part 3 | Code Example and Visualization
43:26Session on Eigen Vectors and Eigen Values | Week 29 | DSMP
1:40:43Session on Eigen Decomposition + PCA Variants | Week 29 | DSMP
2:07:27Session on Singular Value Decomposition
2:13:01ROC Curve in Machine Learning | ROC-AUC in Machine Learning Simplified | CampusX
1:11:15Session on Cross Validation
1:08:44Session on Data Leakage
2:25:26Session on Hyperparameter Tuning
1:46:58Master Probability in Data Science: The Ultimate Crash Course! | Part 1 | CampusX
1:34:06Mastering Probability for ML: Joint | Marginal | Conditional Probability and Bayes' Theorem
1:20:29Session 2 on Naive Bayes
2:13:57Session 1 on Naive Bayes
2:00:49Session 3 on Naive Bayes
1:58:53Session 1 on Logistic Regression
2:08:28Session on Softmax Regression | Multiclass Classification | Week 32 | DSMP
1:52:54Session on Maximum Likelihood Estimation
2:07:48Session 3 on Logistic Regression
2:06:40SVM Part 1 | Hard Margin SVM
1:42:15Feature Engineering | Extra Session | Session on Handling Missing Values Part 1
2:33:35SVM Part 2 - Soft Margin SVM
1:46:40Session on Constrained Optimization Problem
2:00:35Session on SVM Dual Problem
1:45:51Feature Engineering | Extra Session | Session 2 on Handling Missing Data
2:13:07Session on Maths Behind SVM Kernels
1:59:04Session 1 on Decision Trees
2:07:42Feature Engineering | Extra Session | Session 3 on Handling Missing Values
2:08:40Session 2 on Decision Trees
1:58:54Session 3 on Decision Trees | Pruning
1:40:56Session 1 on Random Forest | Week 35 | DSMP
2:03:08Session 2 on Random Forest | Week 35 | DSMP |
1:45:10Session 1 on Gradient Boosting - Regression | Week 36 | DSMP
2:19:17Gradient Boosting for Classification | Geometric Intuition | CampusX
1:04:33Session 1 on Capstone Project | Capstone Project | DSMP
1:34:01Session 2 on Gradient Boosting | Perspectives
2:14:17Gradient Boosting for Classification Maths Formulation | Week 36 | DSMP
54:10Session 2 Capstone Project | Data Cleaning
48:16Session 3 Capstone Project | Feature Engineering | DSMP
51:44Session 4 on Capstone Project | EDA | DSMP
1:55:54Coding K Nearest Neighbors from Scratch | Batch 7 | 10 Feb 2021
56:43K Nearest Neighbors Part 4 - Decision Boundary for Knn
40:37Email Spam Classifier | SMS Spam Classifier | End to End Project | Heroku Deployment
1:39:39Session 6 on Capstone Project | Missing Value Imputation
36:18Logistic Regression Hyperparameters || Logistic Regression Part 8
13:07Session 7 on Capstone Project | Feature Selection
1:30:00Session 5 on Capstone Project | Outlier Detection and Removal
33:53Awesome Decision Tree Visualization using dtreeviz library
18:36Introduction to Ensemble Learning | Ensemble Techniques in Machine Learning
37:43Bagging | Introduction | Part 1
31:13Bagging Ensemble | Part 2 | Bagging Classifiers
22:32Bagging Ensemble | Part 3 | Bagging Regressor
10:55Session 8 on Capstone Project Model Selection Productionalization
1:56:07Session 9 on Capstone Project Building the Analytics Module
1:38:30Session 10 on Capstone Project Building the Recommender System
1:33:04Session 11 on Capstone Project Building the Recommender System Part 2
1:13:38Session 12 on Capstone Project Building the Insights Module
1:16:34Session 13 on Capstone Project | Deploying the application on AWS
1:26:11Introduction to XGBOOST | Machine Learning | CampusX
1:19:37XGBoost for Regression | XGBoost Part 2 | CampusX
47:17XGBoost For Classification | How XGBoost works on Classification Problems | CampusX
39:08The Maths Behind XGBoost | Machine Learning | CampusX
1:57:28Plotly tutorial for beginners | Graph Objects
1:47:44Making a Corona virus(Covid-19) Dashboard | Session on Dash
1:54:52Deploying a Dash application on Heroku in under 15 minutes | Step by Step Tutorial
14:47Dash basic introduction | Week 9 | DSMP
29:56YouTube is built for entertainment and infinite recommendations. SyncStudy transforms playlists into distraction-free study environments.
No comments section, no recommended sidebar rabbit holes, and no algorithmic rabbit holes pulling you off task.
Write notes that link directly to video timestamps. Click any note anytime to jump straight to that exact explanation.
Mark lectures as complete with one click. Maintain daily streaks and always resume right where you left off.
Ask concept questions to the 24/7 AI tutor and generate chapter-wise practice quizzes directly from video transcripts.
Continue your study path with these recommended courses.
Common questions about studying this course on SyncStudy.
Yes! SyncStudy allows you to convert public YouTube playlists into structured courses and track your progress 100% free with no credit card required.
Every time you finish a lecture, you can mark it complete with one click. Your progress percentage, completed minutes, and streak are updated in real-time across all your devices.
Yes. SyncStudy features built-in timestamped notes. While watching a video, simply type your notes and click save — your notes will link directly to that exact second in the lecture.
SyncStudy automatically monitors the playlist and lets you refresh your syllabus with one click whenever the creator uploads new videos.
Stop getting distracted on YouTube. Start your personalized study schedule and track all 244 lessons today.


