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DATA SCIENCE Technologies Covered
Data Science Road Map
First 3 Month Course
- Basic Python
- Stat's & Probability
- Advance Python
Within 6 Months Expert In
- PYTHON
- DATA SCIENCE
- MONGO DB
Data Science Road Map
Python Technologies Covered
PYTHON Road Map
Python Basic
- Why Python
- Python IDE
- Variables & Name
- Tuple,List,Dictionaries
- Conditional Statements
- For and While Loop
- Functions
Python Advance
- Functions as Arguments
- List Comprehensions
- File Handling
- Debugging in Python
- Class and Objects
Python Leaning Path
MongoDB Technologies Covered
MongoDB Road Map
MongoDB Basic
- Install MongoDB
- How MongoDB Works?
- Insert First Data
- CRUD Operatins
- Insert Many
- Update and Update Many
- Delete and Delete Many
Mongo Advance
- Prejection
- Intro to Embed Documents
- Adding Arrays
- Aggregations,Schema Types
- Types of Data in MongoDB
- One to Many Embed
- Assessment - MongoDB
MongoDB Learning Path
NumPy Concepts Covered
NumPy
NumPy Basic
- Introduction to NumPy
- NumPy - String Functions
- NumPy - Sort, Search & Counting Functions
- NumPy - Array Creation Routines
- NumPy - Iterating over Array
- NumPy - Mathematical & Statistical Functions
- NumPy - Copies,Views & Linear Algebra
NumPy Advance
- NumPy - Matrix Library
- NumPy - Ndarray Object
- Module Projects - 6 full tutorials on project implementation using NumPy
- NumPy - Array from Numerical Ranges
- NumPy – Broadcasting
- NumPy - Advanced Indexing
NumPy Learning Concepts
Python Pandas
Concepts Covered
Pandas Basic
- Introduction to Pandas
- Series Data Structure-Querying and Indexing
- DataFrame DataStrcture-QueryingIndexing and Loading
- Merging Data Frames
- Group by Operations
- Pivot Table
Pandas Advance
- Date/Time Functionality
- Manipulating Data Frame
- Working with CSV and Excel files
- Grouping Data
Pandas Leaning Concepts
Natural Language Processing
Concepts Covered
Natural Language Processing-Basics
- Syntactic Analysis
- Tokenization
- Part of Speech Tagging(PoS Tagging)
- Lemmatization and Stemming
- Stop word removal
Natural Language Processing- Advance
- Semantic Analysis
- Word sense disambiguation
- Relationship extraction
- Sentiment Analysis,Test extraction
Natural Language Processing
Concepts Covered
Machine Learning
Concepts Covered
Machine Learning-Basics
- Introduction to machine Learning
- Experts systems and 6 Jars
- Supervised Learning-Regression and Classification
- Evaluation metrics and measuring accuracy
- Feature selection
- Regularisation - Ridge and Lasso
- Assessment
Machine Learning- Advance
- Comparison of supervised techniques
- Do's and Dont's while training ML modes
- Undersampling and Oversampling
- Other methods - ROSE,SMOTE, etc.
- Assessments
Machine Learning Concepts
Data Visualization
Concepts Covered
Data Visualization-Basics
- Introduction to Data Visualization
- Read Complex JSON files
- Styling Tabulation
- Distributing of Data - Histogram
- Box Plot
- Data Visualization-Recap
- Pie Chart, Donut Chart, Stacked Bar Plot
- Continues Vs Continues Plot
Data Visualization- Advance
- Dash by Plotly's setup
- Dash core components
- Style our Dash Application
- Callbacks
- Adding interactivity to our Dash Apps using Callbacks
Data Visualization Concepts
Computational Thinking
Concepts Covered
Computational Thinking-Basics
- Introduction to Data Visualization
- Read Complex JSON files
- Styling Tabulation
- Distributing of Data - Histogram
- Box Plot
- Data Visualization-Recap
- Pie Chart, Donut Chart, Stacked Bar Plot
- Continues Vs Continues Plot
Computational Thinking- Advance
- Dash by Plotly's setup
- Dash core components
- Style our Dash Application
- Callbacks
- Adding interactivity to our Dash Apps using Callbacks
Computational Thinking Concepts
