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Batch
Date: Aug 6th @8:00AM
Faculty: Mr. N. Vijay Sunder Sagar (17+ Yrs of Exp,..)
Duration : 45 Days
Venue
:
DURGA SOFTWARE SOLUTIONS at Maitrivanam
Plot No : 202,
IInd Floor ,
HUDA Maitrivanam,
Ameerpet, Hyderabad-500038.
Ph.No: +91 - 9246212143, 80 96 96 96 96
Syllabus:
PYTHON For DATA SCIENCE
1. Introduction to Datascience
• Machine Learning Introduction
• Datasets
• Supervised /Unsupervised Learning
• Statistical Analysis
• Data Analysis
• Uni-variate/multi-variate analysis
• Corelation Analysis
• Algorithm types
• Applications
2. Python Data Processing
• Python Data Operations
• Python Data cleansing
• Python Processing CSV Data
• Python Processing JSON Data
• Python Processing XLS Data
• Python Relational databases
• Python NoSQL Databases
• Python Date and Time
• Python Data Wrangling
• Python Data Aggregation
• Python Reading HTML Pages
• Python Processing Unstructured Data
• Python word tokenization
3. Pandas : Python for Data Analysis
• Introduction to Pandas
• Creating Pandas Series
• Creating Data Frames
• Pandas Data Frames from dictionaries
• Pandas Data Frames from list
• Pandas Data Frames from series
• Pandas Data Frames from CSV, Excel
• Pandas Data Frames from JSON
• Pandas Data Frames from Databases
• Extracing rows using loc and iloc
• Pandas dealing with rows and columns
• Pandas indexing and slicing
• Pandas Data Functionality
• Pandas Timedelta
• Creating Data Frames from Timedelta
• Pandas Groupings and Aggregations
• Pandas Merging and concatenating
• Converting Data Frames from list
• Creating Functions
• Converting Different Formats
• Pandas and Matplotlib
• Pandas usecases
• Working Examples
• Pandas Exercises
4. Numpy : Python for Data Analysis
• Introduction to Numpy
• Numpy Arrays
• Numpy Array Indexing
• 2-D and 3Dimensional Arrays
• Numpy Mathematical operations
• Numpy Flattening and reshaping
• Numpy Horizontal and Vertical Stack
• Numpy linespace and arrange
• Numpy asarray and Random numbers
• Numpy iterations and Transpose
• Numpy Array Manipulation
• Numpy and matplotlib
• Numpy Linear Algebra
• Numpy String Functions
• Numpy operations and usecases
• Numpy Working Examples
5. Matplotlib : Python for Data Visualizations
1) Matplotlib – Axes Class
i. axes() function
ii. add_axes() function
iii. ax.legend() function
iv. ax.plot() function
2) Matplotlib-Multiple Plots
i. creating multiple subplots
ii. Adding title to subplots
iii. Main title for all subplots
iv. Create diff subplot sizes
v. Set spacing b/w subplots
3) Working with legend
i. Matplotlib.pyplot.legend()
ii. Matplotlib.axes.Axes.legend()
iii. Changing legend position
iv. Changing legend fontsize
v. Multiple columns in legend
vi. Sigle legend for all subplots
vii. Manually adding legend
viii. Placing legend ouside the plot
ix. Remove legend border
4) Line Chart
i. Line plot styles
ii. Plot multiple lines
iii. Change line opacity
iv. Increase the thickness of a line
v. How to fill b/w the lines
5) Bar plot
i. Horizontal bar chart
ii. Stacked bar plot
iii. Stacked percentage bar plot
iv. Back-to-back bar plots
v. Annotate bars in grouped barplot
6) Histogram
i. Creating Cummulative Histogram
ii. Plotting 2 histograms together
iii. Overlapping histogram
iv. Binsize in Histogram
v. Working examples
7) Scatter plots
i. Adding a legend to a scatter plot
ii. Connect scatterplot points with line
iii. Scatter plot with multiple colors
iv. Increasing the size of scatter plots
v. Working examples
8) Pie Chart
i. Pie chart labels
ii. Pie Chart Startangle
iii. Pie chart explode
iv. Pie chart Shadow
v. Pie Chart colors
vi. Pie Chart Legend
vii. Pie Chart Legend with title
viii. Pie Chart Working examples
9) 3D Plots
i. Three-dimensional Plotting
ii. 3D Scatter Plotting in Python
iii. 3D Surface plotting in Python
iv. 3D Wireframe plotting in Python
v. 3D Contour Plotting in Python
vi. Surface plots and Contour plots in Python
vii. How to change angle of 3D plot in Python?
10) Working with images
i. Working with Images
ii. Working with PNG Images
iii. Displaying Image in Grayscale
iv. Plot a Point or a Line on an Image
v. How to Draw Rectangle on Image
vi. How to Display an OpenCV image
6. Seaborn - Python for Data Visualization
1. Styling Plots
- Seaborn | Style And Color
- Seaborn – Color Palette
2. Multiple Plots
- seaborn.FacetGrid() method
- seaborn.PairGrid() method
3. Scatter Plot
- Scatterplot using Seaborn in Python
- Visualizing Relationship between variables with scatter plots
- How To Make Scatter Plot with Regression Line using Seaborn
- Scatter Plot with Marginal Histograms in Python with Seaborn
4. Line Plot
- Data Visualization with Seaborn Line Plot
- Creating A Time Series Plot With Seaborn And Pandas
- How to Make a Time Series Plot with Rolling Average in Python?
5. Bar Plot
- Barplot using seaborn in Python
- Seaborn – Sort Bars in Barplot
6. Count Plot
- Countplot using seaborn in Python
7. Box Plot
- Boxplot using Seaborn in Python
- Horizontal Boxplots with Seaborn in Python
- Seaborn – Coloring Boxplots with Palettes
- How to Show Mean on Boxplot using Seaborn in Python?
- How To Manually Order Boxplot in Seaborn?
- Grouped Boxplots in Python with Seaborn
- Box plot visualization with Pandas and Seaborn
8. Violin Plot
- Violinplot using Seaborn in Python
- How to Make Horizontal Violin Plot with Seaborn in Python?
- How to Make Grouped Violinplot with Seaborn in Python?
9. Strip Plot
- Stripplot using Seaborn in Python
10. Swarm Plot
- Python – seaborn.swarmplot() method
- Swarmplot using Seaborn in Python
11. Factor Plot
- Python – seaborn.factorplot() method
- Plotting different types of plots using Factor plot in seaborn
12. Histogram
- How to Make Histograms with Density Plots with Seaborn histplot?
- How to Add Outline or Edge Color to Histogram in Seaborn?
13. Pairplot
- Python – seaborn.pairplot() method
- Data visualization with Pairplot Seaborn and Pandas
14. KDE Plot
- Seaborn Kdeplot – A Comprehensive Guide
- KDE Plot Visualization with Pandas and Seaborn
15. Heatmap
- Seaborn Heatmap – A comprehensive guide
- How to create a seaborn correlation heatmap in Python?
- How to create a Triangle Correlation Heatmap in seaborn – Python?
- ColorMaps in Seaborn HeatMaps
- How to add a frame to a seaborn heatmap figure in Python?
7. Plotly – Python for Data Visualization
• Line Chart using Plotly
• Bar chart using Plotly
• Histogram using Plotly
• Scatter plot using Plotly
• Bubble chart using Plotly
• Pie plot using Plotly
• Box Plot using Plotly
• Gantt Chart in plotly
• Contour Plots using Plotly
• Create Heatmaps using graph_objects class in Plotly
• Sunburst Plot using Plotly
• Polar Charts using Plotly
• Ternary Plots in Plotly
• 3D Line Plots using Plotly
• 3D Surface Plots using Plotly
• 3D Bubble chart using Plotly
• 3D Mesh Plots using Plotly
• Sankey Diagram using Plotly
• Quiver Plots using Plotly
• Treemap using Plotly
• How to make Custom Buttons in Plotly?
• How to make Range Slider and Selector in Plotly?
• Animated Data Visualization using Plotly Express
8. Scipy - Python for Scientific Computation
- SciPy Intro
- SciPy Getting Started
- SciPy Constants
- SciPy Optimizers
- SciPy Sparse Data
- SciPy Graphs
- SciPy Spatial Data
- SciPy Matlab Arrays
- SciPy Interpolation
- SciPy Significance Tests
9. Scikit-Learn - Python for Machine Learning
- Scikit Learn - Introduction
- Scikit Learn - Modelling Process
- Scikit Learn - Data Representation
- Scikit Learn - Estimator API
- Scikit Learn - Conventions
- Scikit Learn - Linear Modeling
- Scikit Learn - Extended Linear Modeling
- Stochastic Gradient Descent
- Classification with Naïve Bayes
- Scikit Learn - Decision Trees
- Randomized Decision Trees
- Scikit Learn - Boosting Methods
- Scikit Learn - Clustering Methods
- Clustering Performance Evaluation
- Other modelling techniques
- Dimensionality Reduction
10. Keras – Python for Deep Learning
- Keras - Introduction
- Keras - Installation
- Keras - Backend Configuration
- Keras - Overview of Deep learning
- Keras - Deep learning
- Keras - Modules
- Keras - Layers
- Keras - Customized Layer
- Keras - Models
- Keras - Model Compilation
- Keras - Model Evaluation and Prediction
11. Python MongoDB
• Python MongoDB Tutorial
• Installing MongoDB on Windows with Python
• MongoDB and Python
• Create a database in MongoDB using Python
• Python MongoDB – insert_one Query
• Python MongoDB – insert_many Query
• Python MongoDB – Find
• Python MongoDB – Query
• Python MongoDB – Sort
• MongoDB python | Delete Data and Drop Collection
• Python Mongodb – Delete_one()
• Python Mongodb – Delete_many()
• Python MongoDB – Update_one()
• Python MongoDB – Update_many Query
• Python MongoDB – Limit Query
• Python MongoDB – create_index Query
• Python MongoDB – drop_index Query
12. Python MySQL
• Connect MySQL database using MySQL-Connector Python
• Python MySQL – Create Database
• Python: MySQL Create Table
• Python MySQL – Insert into Table
• Python MySQL – Select Query
• Python MySQL – Where Clause
• Python MySQL – Order By Clause
• Python MySQL – Delete Query
• Python MySQL – Drop Table
• Python MySQL – Update Query
• Python MySQL – Limit Clause
13. Other Python Libraries
