ONLINE-EXPERT DATA SCIENCE ANALYTICS AI
Expert Data Science Analytics AI is designed to build strong skills in data analysis, statistics, machine learning, and artificial intelligence. The course focuses on data cleaning, visualization, Python for data science, predictive modeling, business analytics, and AI-driven insights to solve real-world problems and support data-driven decision making.
Course Instructor:
Cloudblitz Trainer
To enroll in this course, please contact the Admin
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Course Overview
Schedule of Classes
Start Date & End Date
Jan 12 2026 - Aug 31 2026
Total Classes
91 Classes
Course Curriculum
2 Subjects
Python Essentials for Data Science
90 Learning Materials
Day 1:Introduction to Data Science
Introduction to Data Science
Video
00:04:30
Introduction to Data Science-[Notes]
PDF
Introduction to Data Science-[GIQ]
PDF
Day 2:Getting Started with Python
Getting Started With python
Video
00:04:30
Getting Started with Python-[Notes]
PDF
Getting Started with Python-[GIQ]
PDF
Day 3:Play with Variables and Data Types in Python
Play with Variables and Data Types in Python
Video
00:05:21
Play with Variables and Data Types in Python-[Notes]
PDF
Play with Variables and Data Types in Python-[GIQ]
PDF
Day 4:Type Casting and Strings in Python
Type Casting and Strings in Python
Video
00:02:15
Type Casting and Strings in Python-[Notes]
PDF
Type Casting and Strings in Python-[GIQ]
PDF
Day 5:Operators in Action – The Fundamentals of Python Expressions
Operators in Action – The Fundamentals of Python Expressions
Video
00:01:40
Operators in Action – The Fundamentals of Python Expressions-[Notes]
PDF
Operators in Action – The Fundamentals of Python Expressions-[GIQ]
PDF
Day 6:Making Decisions with Conditional Statements
Making Decisions with Conditional Statements
Video
00:02:33
Making Decisions with Conditional Statements-[Notes]
PDF
Making Decisions with Conditional Statements-[GIQ]
PDF
Day 7:Harnessing Lists – Functions, Comprehension, and Data Management
Harnessing Lists – Functions, Comprehension, and Data Management
Video
00:02:27
Harnessing Lists – Functions, Comprehension, and Data Management-[Notes]
PDF
Harnessing Lists – Functions, Comprehension, and Data Management-[GIQ]
PDF
Day 8:Lists and Tuples – Understanding Structures and Their Functions
Lists and Tuples: Understanding Structures and Their Functions
Video
00:02:25
Lists and Tuples – Understanding Structures and Their Functions-[Notes]
PDF
Lists and Tuples – Understanding Structures and Their Functions-[GIQ]
PDF
Day 9:Looping Logic – Mastering Iteration
Looping Logic – Mastering Iteration
Video
00:02:18
Looping Logic – Mastering Iteration-[Notes]
PDF
Looping Logic – Mastering Iteration-[GIQ]
PDF
Day 10:Pattern Design and List Comprehension
Pattern Design and List Comprehension
Video
00:02:19
Pattern Design and List Comprehension-[Notes]
PDF
Pattern Design and List Comprehension-[GIQ]
PDF
Day 11:Dynamic and Immutable Data Structures – Sets
Dynamic and Immutable Data Structures – Sets
Video
00:02:07
Dynamic and Immutable Data Structures – Sets-[Notes]
PDF
Dynamic and Immutable Data Structures – Sets-[GIQ]
PDF
Day 12:Mastering Dictionaries in Python
Mastering Dictionaries in Python (Data Science)
Video
00:02:23
Mastering Dictionaries in Python (Data Science)-[Notes]
PDF
Day 12: Mastering Dictionaries in Python (Data Science)-[GIQ]
PDF
Day 13:Navigating the Python Function Landscape
Navigating the Python Function Landscape
Video
00:02:29
Navigating the Python Function Landscape-[Notes]
PDF
Navigating the Python Function Landscape-[GIQ]
PDF
Day 14:Arguments and Lambda Functions in Python
Arguments and Lambda Functions in Python
Video
00:01:52
Arguments and Lambda Functions in Python-[Notes]
PDF
Arguments and Lambda Functions in Python-[GIQ]
PDF
Day 15:Built-in Functions and Modules in Python
Built-in Functions and Modules in Python
Video
00:02:37
Built-in Functions and Modules in Python-[Notes]
PDF
Built-in Functions and Modules in Python-[GIQ]
PDF
Day 16:Introduction to OOP in Python
Introduction to OOP in Python
Video
00:02:41
Introduction to OOP in Python-[Notes]
PDF
Introduction to OOP in Python-[GIQ]
PDF
Day 17:OOP – Inheritance, Encapsulation, and Abstraction
OOP – Inheritance, Encapsulation, and Abstraction
Video
00:04:33
OOP – Inheritance, Encapsulation, and Abstraction-[Notes]
PDF
OOP – Inheritance, Encapsulation, and Abstraction-[GIQ]
PDF
Day 18:Abstraction
Abstraction
Video
00:02:56
Abstraction-[Notes]
PDF
Abstraction-[GIQ]
PDF
Day 19:Regular Expressions (Regex)
Regular Expressions (Regex)
Video
00:03:09
Regular Expressions (Regex)-[Notes]
PDF
Regular Expressions (Regex)-[GIQ]
PDF
Day 20:Handling Errors and Exceptions
Handling Errors and Exceptions
Video
00:02:51
Handling Errors and Exceptions-[Notes]
PDF
Handling Errors and Exceptions
PDF
Day 21 :Installation of Anaconda and Introduction to NumPy
Installation of Anaconda and Introduction to NumPy
Video
00:04:12
Installation of Anaconda and Introduction to NumPy-[Notes]
PDF
Installation of Anaconda and Introduction to NumPy-[GIQ]
PDF
Day 22:Creating and Slicing Arrays in NumPy
Creating and Slicing Arrays in NumPy
Video
00:03:47
Creating and Slicing Arrays in NumPy-[Notes]
PDF
Creating and Slicing Arrays in NumPy-[GIQ]
PDF
Day 23:Introduction to Pandas
Introduction to Pandas
Video
00:03:55
Introduction to Pandas-[Notes]
PDF
Introduction to Pandas-[GIQ]
PDF
Day 24:Pandas Methods, Basic Data Manipulation, and Loading CSV Files
Pandas Methods, Basic Data Manipulation, and Loading CSV Files
Video
00:06:39
Pandas Methods, Basic Data Manipulation, and Loading CSV Files-[Notes]
PDF
Pandas Methods, Basic Data Manipulation, and Loading CSV Files-[GIQ]
PDF
Day 25:Introduction to Matplotlib
Introduction to Matplotlib
Video
00:05:43
Introduction to Matplotlib-[Notes]
PDF
Introduction to Matplotlib-[GIQ]
PDF
Day 26:Introduction to Seaborn
Introduction to Seaborn
Video
00:04:48
Introduction to Seaborn-[Notes]
PDF
Introduction to Seaborn-[GIQ]
PDF
Day 27:Exploratory Data Analysis (EDA) – Part 1
Exploratory Data Analysis (EDA) – Part 1
Video
00:04:33
Exploratory Data Analysis (EDA) – Part 1-[Notes]
PDF
Exploratory Data Analysis (EDA) – Part 1-[GIQ]
PDF
Day 28:Exploratory Data Analysis (EDA) – Part 2
Exploratory Data Analysis (EDA) – Part 2
Video
00:04:35
Exploratory Data Analysis (EDA) – Part 2-[Notes]
PDF
Exploratory Data Analysis (EDA) – Part 2-[GIQ]
PDF
Day 29:Data Cleaning
Data Cleaning
Video
00:06:19
Data Cleaning-[Notes]
PDF
Data Cleaning-[GIQ]
PDF
Day 30:Solving Assignment on EDA
Solving Assignment on EDA
Video
00:04:34
Solving Assignment on EDA-[Notes]
PDF
Solving Assignment on EDA-[GIQ]
PDF
Data Science Essentials for Modern Engineering
148 Learning Materials
Day 31:Getting Started with SQL and MySQL
Getting Started with SQL and MySQL
Video
00:02:45
Getting Started with SQL and MySQL
PDF
Getting Started with SQL and MySQL-[GIQ]
PDF
Day 32:Exploring Data Definition Language (DDL)
Exploring Data Definition Language (DDL)-[Notes]
Video
00:02:56
Exploring Data Definition Language (DDL)-[Notes]
PDF
Exploring Data Definition Language (DDL)-[GIQ]
PDF
Day 33:Manipulating Data – Data Manipulation Language (DML)
Exploring Data Definition Language (DDL)
Video
00:03:21
Exploring Data Definition Language (DDL)-[NOtes]
PDF
Exploring Data Definition Language (DDL)-[GIQ]
PDF
Day 34:Data Transaction Language (DTL) Essentials
Data Transaction Language (DTL) Essentials
Video
00:03:57
Data Transaction Language (DTL) Essentials-[Notes]
PDF
Data Transaction Language (DTL) Essentials-[GiQ]
PDF
Day 35:The Art of Joining Tables in SQL
The Art of Joining Tables in SQL
Video
00:03:19
The Art of Joining Tables in SQL-[Notes]
PDF
The Art of Joining Tables in SQL-[GIQ]
PDF
Day 36:Connecting SQL with Python
Connecting SQL with Python
Video
00:02:30
Connecting SQL with Python-[Notes]
PDF
Connecting SQL with Python-[GIQ]
PDF
Day 37:SQL Mini Project
SQL Mini Project
Video
00:03:03
SQL Mini Project-[NOtes]
PDF
SQL Mini Project-[GIQ]
PDF
Day 38:Introduction to Calculus in Data Science (Part 1)
Introduction to Calculus in Data Science (Part 1)
Video
00:04:02
Introduction to Calculus in Data Science (Part 1)-[Notes]
PDF
Introduction to Calculus in Data Science (Part 1)-[GIQ]
PDF
Day 39:Introduction to Calculus in Data Science (Part 2)
Introduction to Calculus in Data Science (Part 2)
Video
00:03:06
Introduction to Calculus in Data Science (Part 2)-[Notes]
PDF
Introduction to Calculus in Data Science (Part 2)-[GIQ]
PDF
Day 40:Optimization Problems
Optimization Problems
Video
00:02:42
Optimization Problems-[Notes]
PDF
Optimization Problems-[GIQ]
PDF
Day 41:Linear Algebra for Machine Learning – Vectors
Linear Algebra for Machine Learning – Vectors
Video
00:03:41
Linear Algebra for Machine Learning – Vectors-[Notes]
PDF
Day 42:Linear Algebra for Machine Learning – Matrices
Linear Algebra for Machine Learning – Matrices
Video
00:03:18
Linear Algebra for Machine Learning – Matrices-[GIQ]
PDF
Linear Algebra for Machine Learning – Matrices-[GIQ]
PDF
Day 43:Statistics for Machine Learning (Part 1)
Statistics for Machine Learning (Part 1)
Video
00:02:59
Statistics for Machine Learning (Part 1)-[GIQ]
PDF
Statistics for Machine Learning (Part 1)-[NOtes]
PDF
Day 44:Statistics for Machine Learning (Part 2)
Statistics for Machine Learning (Part 2)
Video
00:03:08
Statistics for Machine Learning (Part 2)-[Notes]
PDF
Statistics for Machine Learning (Part 2)-[GIQ]
PDF
Day 45:Basics of Probability
Statistics for Machine Learning (Part 2)
Video
00:02:23
Day 46:Set Theory & Probability Rules
Set Theory & Probability Rules-[Notes]
Video
00:03:02
Set Theory & Probability Rules-[Notes]
PDF
Set Theory & Probability Rules-[GIQ]
PDF
Day 47:Random Variables & Distributions
Random Variables & Distributions
Video
00:05:16
Random Variables & Distributions-[Notes]
PDF
Random Variables & Distributions-[GIQ]
PDF
Day 48:Confidence Interval & Hypothesis Testing (Part 1)
Confidence Interval & Hypothesis Testing (Part 1)
Video
00:03:05
Confidence Interval & Hypothesis Testing (Part 1)-[GIQ]
PDF
Confidence Interval & Hypothesis Testing (Part 1)-[Notes]
PDF
Day 49:Confidence Interval & Hypothesis Testing (Part 2)
Confidence Interval & Hypothesis Testing (Part 2)
Video
00:03:05
Confidence Interval & Hypothesis Testing (Part 2)-[GIQ]
PDF
Confidence Interval & Hypothesis Testing (Part 2)-[Notes]
PDF
Day 50:Statistical Tests – z-test & t-test
Statistical Tests – z-test & t-test
Video
00:03:40
Statistical Tests – z-test & t-test-[Notes]
PDF
Statistical Tests – z-test & t-test-[GIQ]
PDF
Day 51:Confusion Matrix & Errors in ML
Confusion Matrix & Errors in ML-[Notes]
PDF
Confusion Matrix & Errors in ML-[GIQ]
PDF
Confusion Matrix & Errors in ML
Video
00:02:23
Day 52:Advanced Statistical Tests (Self Study)
Advanced Statistical Tests
Video
00:02:35
Advanced Statistical Tests [Notes]
PDF
Advanced Statistical Tests-[GIQ]
PDF
Day 53:Introduction to Machine Learning
Introduction to Machine Learning
Video
00:03:44
Introduction to Machine Learning -[Notes]
PDF
Introduction to Machine Learning-[GIQ]
PDF
Day 54:K-Nearest Neighbors (KNN) Algorithm
K-Nearest Neighbors (KNN) Algorithm
Video
00:03:45
K-Nearest Neighbors (KNN) Algorithm-[Notes]
PDF
K-Nearest Neighbors (KNN) Algorithm-[GIQ]
PDF
Day 55:Naive Bayes Classifier
Naive Bayes Classifier
Video
00:02:34
Naive Bayes Classifier
PDF
Naive Bayes Classifier
PDF
Day 56:Logistic Regression
Logistic Regression
Video
00:02:39
Logistic Regression
PDF
Logistic Regression-[GIQ]
PDF
Day 57:Support Vector Machine (SVM)
Support Vector Machine (SVM)
Video
00:03:09
Support Vector Machine (SVM)-[Notes]
PDF
Support Vector Machine (SVM)-[GIQ]
PDF
Day 58:Practice of Classification Algorithms – Part 1
Practice of Classification Algorithms
Video
00:02:42
Practice of Classification Algorithms-[Notes]
PDF
Practice of Classification Algorithm-[GIQ]
PDF
Day 59:Practice of Classification Algorithms – Part 2
Practice of Classification Algorithms
Video
00:02:23
Practice of Classification Algorithms-[Notes]
PDF
Practice of Classification Algorithms-[GIQ]
PDF
Day 60:Decision Trees – Introduction
Decision Trees – Introduction
Video
00:03:27
Decision Trees – Introduction-[Notes]
PDF
Decision Trees – Introduction-[GIQ]
PDF
Day 61:Information Gain & Decision Tree Algorithm
Information Gain & Decision Tree Algorithm
Video
00:03:02
Information Gain & Decision Tree Algorithm-[Notes]
PDF
Information Gain & Decision Tree Algorithm-[GIQ]
PDF
Day 62:Linear Regression – Concepts
Linear Regression – Concepts
Video
00:03:39
Linear Regression – Concepts-[Notes]
PDF
Linear Regression – Concepts-[GIQ]
PDF
Day 63:Linear Regression Implementation
Linear Regression Implementation
Video
00:01:30
Linear Regression Implementation-[Notes]
PDF
Linear Regression Implementation-[GIQ]
PDF
Day 64:Random Forest & AdaBoost
Random Forest & AdaBoost
Video
00:02:42
Random Forest & AdaBoost-[Notes]
PDF
Random Forest & AdaBoost-[GIQ]
PDF
Day 65:Gradient Boosting
Gradient Boosting
Video
00:01:51
Gradient Boosting-[Notes]
PDF
Gradient Boosting-[GIQ]
PDF
Day 66:End-to-End SQL + Python ML Project
End-to-End SQL + Python ML Project
Video
00:02:16
End-to-End SQL + Python ML Project-[Notes]
PDF
End-to-End SQL + Python ML Project-[GIQ]
PDF
Day 67:Streamlit for ML Projects
Streamlit for ML Projects
Video
00:02:12
Streamlit for ML Projects-[Notes]
PDF
Streamlit for ML Projects-[GIQ]
PDF
Day 68:Regularization
Regularization
Video
00:02:27
Regularization-[Notes]
PDF
Regularization-[GIQ]
PDF
Day 69:XGBoost Implementation
XGBoost Implementation
Video
00:02:27
XGBoost Implementation-[Notes]
PDF
XGBoost Implementation-[GIQ]
PDF
Day 70:Feature Scaling
Feature Scaling
Video
00:03:12
Feature Scaling
PDF
Feature Scaling-[GIQ]
PDF
Day 71:Data Encoding
Data Encoding
Video
00:02:45
Data Encoding-[Notes]
PDF
Data Encoding-[GIQ]
PDF
Day 72:Project Discussion – Linear Regression
Project Discussion – Linear Regression
Video
00:02:32
Project Discussion – Linear Regression-[Notes]
PDF
Project Discussion – Linear Regression-[GIQ]
PDF
Day 73:K-Means Clustering
K-Means Clustering
Video
00:02:49
K-Means Clustering-[Notes]
PDF
K-Means Clustering-[GIQ]
PDF
Day 74:Hierarchical Clustering
Hierarchical Clustering
Video
00:02:41
Hierarchical Clustering-[Notes]
PDF
Hierarchical Clustering-[GIQ]
PDF
Day 75:DBSCAN
DBSCAN
Video
00:02:17
Day 76:Introduction to Natural Language Processing
Introduction to Natural Language Processing
Video
00:03:47
Introduction to Natural Language Processing-[Notes]
PDF
Introduction to Natural Language Processing-[GIQ]
PDF
Day 77:Text Processing – Tokenization & Stopword Removal
Text Processing – Tokenization & Stopword Removal
Video
00:02:50
Text Processing – Tokenization & Stopword Removal-[Notes]
PDF
Text Processing – Tokenization & Stopword Removal-[GIQ]
PDF
Day 78:Stemming, Lemmatization & Special Characters
Stemming, Lemmatization & Special Characters
Video
00:02:10
Stemming, Lemmatization & Special Characters-[Notes]
PDF
Stemming, Lemmatization & Special Characters-[GIQ]
PDF
Day 79:Word Embeddings & Advanced Text Preprocessing
Word Embeddings & Advanced Text Preprocessing
Video
00:03:42
Word Embeddings & Advanced Text Preprocessing-[Notes]
PDF
Word Embeddings & Advanced Text Preprocessing-[GIQ]
PDF
Day 80:Sentiment Analysis
Sentiment Analysis
Video
00:03:08
Sentiment Analysis-[Notes]
PDF
Sentiment Analysis-[GIQ]
PDF
Day 81:Named Entity Recognition (NER) with spaCy
Named Entity Recognition (NER) with spaCy
Video
00:03:06
Named Entity Recognition (NER) with spaCy-[Notes]
PDF
Named Entity Recognition (NER) with spaCy-[GIQ]
PDF
Day 82:Neural Networks – The Brain Behind AI
Day 83:Neurons & Layers
Day 84:Forward & Backward Propagation + Optimization
Day 85:Hands-On ANN + Intro to CNN
Day 86:Recurrent Neural Networks (RNNs)
Day 87:Introduction to YOLO11
Day 88:YOLO11 – Custom Model Training
Day 89:Introduction to Time Series Analysis
Day 90:Time Series Methods & Forecasting
Course Instructor
Cloudblitz Trainer
2 Courses • 27 Students
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