Why Choose Python?
Data Analysis with Python
- Importing Datasets: In this module we will see the nuts and bolts of python and understand the domain of the dataset and using python packages we’ll import and export the data.
- Data Wrangling: Wrangling- Cleaning up the data . Here, we’ll identify and handle the various missing values using Normalization sets.
- Analyze the Data: In this module we’ll learn Using python libraries summarizing the data frame by applying different techniques like Anova, Correlation etc. in order to analyze the data
- Development of model: In this module we’ll learn how to visualize the data using Model Evaluation like Regression-Simple,Multiple and Linear etc.,
Hands on Assignments
This will enable to apply the fundamentals of parsing text data and programs on
- Functions and Modules
- Array Creation, Indexing
- Shape Manipulation
- Data preprocessing
It helps to apply and use different techniques to analyze the data
- Cleaning the data( to identify the unnecessary data from the dataset)
- Using data frames for different tasks.
- Analyzing the data using different techniques for working with data.
The assignments enables a learner to work on trading data and looking at what the data tells using several techniques from matplotlib
- Line Graphs to show stock price
- Comparison of prices
- Bar Graphs
- Pie charts
This enables the learner to analyze the data like
- View the data
- Changing the ncessary manipulations.
- Adding or deleting neede columns
- Representing the data
This helps the learner to deploy the mini project in cloud by using different cloud services like
- Elastic Beanstalk
- RDS etc.,