Table of Content
1. Introduction to Data Science
- Introduction to data science
- What is Big Data
- Using Data Wisely
- Application Examples
- Data Science Process Flow
2. Python Essentials for Data Science
- Installing python and text editor
- Introduction to python
- Python Objects
- Exercise 1
- Indexing & Slicing
- Python lists, tuples & dictionaries
- Mutable & Immutable Objects
- User-defined Functions
- Built-ins & Methods
- Control Flow Tools
- Modules, Libraries & Packages
- Introduction to Jupyter Notebook
- Essential Data Science Packages
3. Data ScienceToolBox - 1
- Introduction to Numpy
- Creating a Numpy Array
- More Array Creation techniques
- Exercise 1
- Indexing, Slicing& Iterating with Numpy Arrays
- Exercise 2
- Introduction to Matplotlib
- Plotting with the plot function
- Histogram
- Scatter Plot
- Box Plot
- Adding a Legend
- Creating Subplots
- Lambda Functions
- List Comprehensions
4. Data Science ToolBox - 2
- Introduction to Pandas
- Pandas Series
- Pandas DataFrames
- Pandas DataFrames 2
- Input-Output Tools
- Start your first Case Study
- Iterators
- Generators
5. Importing & Cleaning Data
- Importing Flat Files
- Pickled Files
- Importing from a URL
- Using APIs & JSONs
- Inspecting Data Types
- Inspecting Outliers
- Finding Correlation & Duplicates
- Handling Missing Data
- Regular Expressions
6. Data Visualization with Statistical Thinking
- Introduction to Seaborn Package
- SeabornDistplot
- SeabornDistplot 2
- SeabornJointplot
- SeabornHexplot
- SeabornPairplot
- Seaborn Boxplot
- SeabornViolinplot&Swarmplot
- SeabornCountplot
- Heatmap
- Exercise – Studying the feature correlation
- Feature Selection
- Feature Scaling
- Applying Feature Scaling & Feature Extraction
- Feature Extraction using PCA
7. Introduction to Machine Learning with Scikit-Learn
- Introduction to Machine Learning
- Supervised & Unsupervised Machine Learning
- Classification
- Regression
- Clustering
- Scikit-Learn - Naïve Bayes Algorithm
- Scikit-Learn - Decision trees
- Scikit-Learn - Random Forest
- Scikit-Learn - Linear Regression
- Scikit-Learn - Logistic Regression
- Scikit-Learn - Support Vector Machines
- Scikit-Learn – kNN(K Nearest Neighbours)
- Scikit-Learn – K Means
8. Practice with Case Studies
Apply for certification
https://www.vskills.in/certification/data-science-with-python