DATA ANALYSIS AND DATA WRANGLING WITH PYTHON (Classroom & Asynchronous e-Learning)
About This Course
In this course the student will learn the fundamentals of gathering and loading raw data from various sources and effectively manipulate them to meet business objectives. Along the way, students will also learn the industry best practices on handling different types of data, appropriate manipulation and coding practices, and work hands-on real world business 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.
What You'll Learn
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 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)
Moving Files
• Transfer files