DATA ANALYSIS AND WRANGLING WITH PYTHON SHORT COURSE (MAGES Institute of Excellence)
Course Information
Description
Course Overview
Learners will leave with the fundamentals of gathering and loading raw data from various sources and effectively manipulate them to meet business objectives, along with industry best-practices on handling different types of data, appropriate manipulation and coding. They will be exposed to hands-on real world problems using non-trial datasets.
This course will equip the learner with the necessary skills and tools needed to tackle business data problems using a programmatic approach.
Entry Requirements
Entry Requirements
- Passion for Programming.
- Intend to seek a career switch in the Data Analytics Vertical
- Minimum Education Level – N Level
- Work Experience (No. of Years) – N.A
- Age – 18 years and Above
- Language (Written) – English Language (Spoken) – English
- Language (Written) – English
- Workplace Literacy and Numeracy Level (WPLN) >= 6
- Computer Skills – Basic
Basic Knowledge of Computers
Start up, log on, and shut down a computer system properly.
Use a mouse-pointing device and keyboard.
Identify and use icons (folders, files, applications, and shortcuts/aliases)
Minimize, maximize, and move windows.
Check how much space is left on a drive or other storage device.
Proficiency in Using Productivity Software
Understand and know how to use the following types of software programs:
Word processing (example: MS Word, Google Doc, Writer)
Presentation (example: PowerPoint, Impress)
Compression software (example: WinZip, Stuff It, 7-Zip)
Moving Files
Transfer files by uploading or downloading.
View and change folder/document security settings.
Copy files from hard disk to storage devices and vice versa
Career Opportunities
Information not available.
Modules
- Understanding the Business Domain and its requirements
- Import Data Sets
- Types of Data using tools and techniques
- Understanding the Dataset – Quality and Quantity
- Tools and Techniques for Data Analysis
- Importing and Exporting Data in Python
- Chosen Data sets
- Clean and prepare Data for analysis
- Manipulate Data Frame
- Summarize Data
- Insights from Data