Curriculum
12 Sections
92 Lessons
52 Weeks
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PYTHON (3 Months)
35
1.1
Module 1: Introduction to Python
1.2
Module 1 Introduction to Python (Assignment Questions)
1 Week
1.3
Module 2: Writing and Executing Your First Python Program
1.4
Module 2 Writing and Executing Your First Python Program (Assignment Questions)
1 Week
1.5
Module 3: Python Language Fundamentals
1.6
Module 3 Python Language Fundamentals(Assignment Questions)
1 Week
1.7
Module 4: Standard Data Types
1.8
Module 4 Standard Data Types (Assignment Questions)
1 Week
1.9
Module 5: Python Conditional Statements
1.10
Module 5 Python Conditional Statements (Assignment Questions)
1 Week
1.11
Module 6: Looping Statements
1.12
Module 6 Looping Statements (Assignment Questions)
1 Week
1.13
Module 7: String Handling
1.14
Module 7 String Handling (Assignment Questions)
1 Week
1.15
Module 8: Python List
1.16
Module 8 Python List (Assignment Questions)
1 Week
1.17
Module 9: Python Tuple
1.18
Module 9 Python Tuple (Assignment Questions)
1 Week
1.19
Module 10: Python Set
1.20
Module 10 Python Set & Frozenset (Assignment Questions)
1 Week
1.21
Module 11: Python Dictionary
1.22
Module 11 Python Dictionary (Assignment Questions)
1 Day
1.23
Module 12: Python Functions
1.24
Module 12 Python Functions (Assignment Questions)
1 Week
1.25
Module 13: Modules & Packages
1.26
Module 13 Modules & Packages (Assignment Questions)
1 Week
1.27
Module 14: File I/O
1.28
Module 14 File IO (Assignment Questions)
1 Week
1.29
Module 15: Object Oriented Programming
1.30
Module 15 Object Oriented Programming (Assignment Questions)
1 Week
1.31
Module 16: Exception Handling
1.32
Module 16 Exception Handling (Assignment Questions)
1 Week
1.33
Module 17: Regular Expressions (Regex)
1.34
Module 17 Regular Expressions (Regex) (Assignment Questions)
1 Week
1.35
PYTHON
1 Hour
50 Questions
SQL (Structured Query Language)
23
2.1
Module 1: SQL Basics
2.2
Module 1 SQL Basics (Assignment Questions)
1 Week
2.3
Module 2: DML, DDL & DQL
2.4
Module 2 DML, DDL & DQL (Assignment Questions)
1 Week
2.5
Module 3: SQL Constraints
2.6
Module 3 SQL Constraints (Assignment Questions)
1 Week
2.7
Module 4: Querying Data
2.8
Module 4 Querying Data Assignment Questions
1 Week
2.9
Module 5: SQL Joins
2.10
Module 5 SQL Joins (Assignment Questions)
1 Week
2.11
Module 6: SQL Functions
2.12
Module 6 SQL Functions (Assignment Questions)
1 Week
2.13
Module 7: Aggregate Functions and Grouping
2.14
Module 7 Aggregate Functions and Grouping (Assignment Questions)
1 Day
2.15
Module 8: Subqueries and Nested Queries
2.16
Module 8 Subqueries and Nested Queries (Assignment Questions)
1 Week
2.17
Module 9: Window Functions
2.18
Module 9 Window Functions (Assignment Questions)
1 Week
2.19
Module 10: Indexing and Performance Optimization
2.20
Module 10 Indexing and Performance Optimization (Assignment Questions)
1 Week
2.21
Module 11: Data Warehousing Concepts
2.22
Module 11 Data Warehousing Concepts (Assignment Questions)
1 Week
2.23
SQL (Structured Query Language)
1 Hour
50 Questions
PYTHON LIBRARIES
11
3.1
Module 1: NumPy for Numerical Computing
3.2
Module 1 NumPy for Numerical Computing(Assignment Questions)
1 Week
3.3
Module 2: Pandas for Data Manipulation
3.4
Module 2 Pandas for Data Manipulation (Assignment Questions)
1 Week
3.5
Module 3: Data Visualization with Matplotlib
3.6
Module 3 Data Visualization with Matplotlib (Assignment Questions)
1 Week
3.7
Module 4:Data Visualization with Seaborn
3.8
Module 4 Data Visualization with Seaborn (Assignment Questions)
1 Week
3.9
Module 5: Practical Applications and Case Studies
3.10
Module 5 Practical Applications and Case Studies (Assignment Questions)
1 Week
3.11
PYTHON LIBRARIES
1 Hour
50 Questions
STATISTICS
11
4.1
Module 1: Introduction to Statistics
4.2
Module 1 Introduction to Statistics (Assignment Questions)
1 Week
4.3
Module 2: Understanding Population and Samples
4.4
Module 2 Understanding Population and Samples (Assignment Questions)
1 Week
4.5
Module 3: Measures of Central Tendency and Dispersion
4.6
Module 3 Measures of Central Tendency and Dispersion (Assignment Questions)
1 Week
4.7
Module 4: Probability and Probability Distributions
4.8
Module 4 Probability and Probability Distributions (Assignment Questions)
1 Week
4.9
Module 5: Hypothesis Testing
4.10
Module 5 Hypothesis Testing (Assignment Questions)
3 Days
4.11
STATISTICS
1 Hour
50 Questions
MACHINE LEARNING
23
5.1
Module 1: Introduction to Machine Learning
5.2
Module 1 Introduction to Machine Learning (Assignment Questions)
1 Week
5.3
Module 2: Supervised Learning
5.4
Module 2 Supervised Learning (Assignment Questions)
1 Week
5.5
Module 3: Unsupervised Learning
5.6
Module 3 Unsupervised Learning (Assignment Questions)
1 Week
5.7
Module 4: Support Vector Machines (SVM)
5.8
Module 4 Support Vector Machines (SVM) (Assignment Questions)
1 Week
5.9
Module 5: Decision Tree Classification
5.10
Module 5 Decision Tree Classification (Assignment Questions)
1 Week
5.11
Module 6: Ensemble Learning
5.12
Module 6 Ensemble Learning (Assignment Questions)
1 Week
5.13
Module 7: Model Selection Techniques
5.14
Module 7 Model Selection Techniques (Assignment Questions)
1 Week
5.15
Module 8: Recommendation Systems
5.16
Module 8 Recommendation Systems (Assignment Questions)
1 Week
5.17
Module 9: Text Analysis
5.18
Module 9 Text Analysis (Assignment Questions)
1 Week
5.19
Module 10: Dimensionality Reduction
5.20
Module 10 Dimensionality Reduction (Assignment Questions)
1 Week
5.21
Module 11: OpenCV
5.22
Module 11 OpenCV (Assignment Questions)
1 Week
5.23
MACHINE LEARNING
1 Hour
50 Questions
Deep Learning & Neural Networks
27
6.1
Module 1: Introduction to Artificial Neural Networks
6.2
Module 1 Introduction to Artificial Neural Networks (Assignment Questions)
1 Week
6.3
Module 2: Introduction to Deep Learning
6.4
Module 2 Introduction to Deep Learning (Assignment Questions)
1 Week
6.5
Module 3: TensorFlow Basics
6.6
Module 3 TensorFlow Basics (Assignment Questions)
1 Week
6.7
Module 4: Optimizers
6.8
Module 4 Optimizers (Assignment Questions)
1 Week
6.9
Module 5: Activation Functions
6.10
Module 5 Activation Functions (Assignment Questions)
1 Week
6.11
Module 6: Building Artificial Neural Networks
6.12
Module 6 Building Artificial Neural Networks (Assignment Questions)
1 Week
6.13
Module 7: Modern Deep Learning Optimizers and Regularization
6.14
Module 7 Modern Deep Learning Optimizers and Regularization (Assignment Questions)
1 Week
6.15
Module 8: Building Deep Neural Networks Using Keras
6.16
Module 8 Building Deep Neural Networks Using Keras (Assignment Questions)
1 Week
6.17
Module 9: Convolutional Neural Networks (CNNs)
6.18
Module 9 Convolutional Neural Networks (CNNs) (Assignment Questions)
1 Week
6.19
Module 10: Word Embedding
6.20
Module 10 Word Embedding (Assignment Questions)
1 Week
6.21
Module 11: Recurrent Neural Networks (RNNs)
6.22
Module 11 Recurrent Neural Networks (RNNs) (Assignment Questions)
1 Week
6.23
Module 12: Generative Adversarial Networks (GANs)
6.24
Module 12 Generative Adversarial Networks (GANs) (Assignment Questions)
1 Week
6.25
Module 13: Speech Recognition APIs
6.26
Module 13 Speech Recognition APIs (Assignment Questions)
1 Week
6.27
Deep Learning & Neural Networks
1 Hour
50 Questions
Capstone Project
1
7.1
Choose (Any 2)
ADVANCE EXCEL
19
8.1
Module 1: Excel Basics and Customization
8.2
Module 1 Excel Basics and Customization (Assignment Questions)
1 Week
8.3
Module 2: Advanced Functions and Formulas
8.4
Module 2 Advanced Functions and Formulas (Assignment Questions)
1 Week
8.5
Module 3: Data Validation Techniques
8.6
Module 3 Data Validation Techniques (Assignment Questions)
1 Week
8.7
Module 4: Data Organization and Analysis
8.8
Module 4 Data Organization and Analysis (Assignment Questions)
1 Week
8.9
Module 5: Power Functions for Data Analytics
8.10
Module 5 Power Functions for Data Analytics (Assignment Questions)
1 Week
8.11
Module 6: Data Visualization Techniques
8.12
Module 6 Data Visualization Techniques (Assignment Questions)
1 Week
8.13
Module 7: Macros and Automation
8.14
Module 7 Macros and Automation (Assignment questions)
1 Week
8.15
Module 8: What-If Analysis Tools
8.16
Module 8 What-If Analysis Tools (Assignment Questions)
1 Week
8.17
Module 9: New Features and Enhancements in Excel
8.18
Module 9 New Features and Enhancements in Excel (Assignment Questions)
1 Week
8.19
ADVANCE EXCEL
1 Week
50 Questions
VBA (Visual Basic for Applications)
17
9.1
Module 1: Introduction to VBA
9.2
Module 1 Introduction to VBA (Assignment Questions)
1 Week
9.3
Module 2: Automating Data Tasks with Macros
9.4
Module 2 Automating Data Tasks with Macros (Assignment Questions)
1 Day
9.5
Module 3: Fundamental VBA Programming Concepts
9.6
Module 3 Fundamental VBA Programming Concepts (Assignment Questions)
1 Day
9.7
Module 4: Working with Excel Objects
9.8
Module 4 Working with Excel Objects (Assignment Questions)
1 Day
9.9
Module 5: Data Cleaning and Transformation
9.10
Module 5 Data Cleaning and Transformation (Assignment Questions)
1 Week
9.11
Module 6: Advanced Data Manipulation Techniques
9.12
Module 6 Advanced Data Manipulation Techniques (Assignment Questions)
1 Week
9.13
Module 7: User-Defined Functions (UDFs) for Data Analysis
9.14
Module 7 User-Defined Functions (UDFs) for Data Analysis (Assignment Questions)
1 Week
9.15
Module 8: Data Visualization and Reporting
9.16
Module 8 Data Visualization and Reporting (Assignment Questions)
1 Week
9.17
VBA (Visual Basic for Applications)
1 Hour
50 Questions
Tableau
14
10.1
Module 1: Tableau Overview
10.2
Module 1 Tableau Overview (Assignment Questions)
1 Week
10.3
Module 2: Data Sources
10.4
Module 2 Data Sources (Assignment Questions)
1 Week
10.5
Module 3: Worksheets
10.6
Module 3 Worksheets (Assignment Questions)
1 Week
10.7
Module 4: Calculations
10.8
Module 4 Calculations (Assignment Questions)
1 Week
10.9
Module 5: Sorting & Filtering
10.10
Module 5 Sorting & Filtering (Assignment Questions)
1 Week
10.11
Module 6: Data Visualization
10.12
Module 6 Data Visualization (Assignment Questions)
1 Week
10.13
Module 7: Projects
10.14
Tableau
1 Hour
50 Questions
Power BI
11
11.1
Module 1: Introduction to Power BI
11.2
Module 1 Introduction to Power BI (Assignment Questions)
1 Week
11.3
Module 2: Data Visualization
11.4
Module 2 Data Visualization (Assignment Questions)
1 Week
11.5
Module 3: Power BI Service, Publishing & Sharing
11.6
Module 3 Power BI Service, Publishing & Sharing (Assignment Questions)
1 Week
11.7
Module 4: Data Transformation
11.8
Module 4 Data Transformation (Assignment Questions)
1 Day
11.9
Module 5: Data Modeling & DAX
11.10
Module 5 Data Modeling & DAX (Assignment Questions)
1 Week
11.11
Power BI
1 Hour
50 Questions
Final Exam
2
12.1
Data Science Using Python(Final Quiz)
1 Hour
50 Questions
12.2
Data Science Final Test
3 Hours
Data Science Using Python
Search
Module 9: Text Analysis
Topics:
Install NLTK
Tokenizing Words
Tokenizing Sentences
Stop Words Customization
Stemming and Lemmatization
Feature Extraction
Sentiment Analysis
CountVectorizer
TfidfVectorizer
Naive Bayes Algorithms
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