Duration
4 weeksWeekly study
4 hours
Data Wrangling and Ingestion using Python
Do you want to expand your data analytics skills and streamline your analysis processes? Having a solid understanding of Python can help to boost your career and make data analysis and manipulation considerably more efficient.
This course builds on the previous two within this Data Analytics Using Python ExpertTrack to give you a better understanding of the possibilities of using Python.
Deepen your understanding of Python functions
On this course, you’ll familiarise yourself with the data wrangling, manipulation and exploration steps of the CRISP-DM methodology, and perform data ingestion using Python.
You’ll learn how to demonstrate transformation activities in Python to further your data analysis.
You’ll also explore SQL in relation to data analytics, including the fundamentals of databases using SQL to perform various data analysis operations.
By the end of this course, you’ll be better equipped to create database tables using the data definition language and add data records using data manipulation language.
You’ll have also practised how to query the data stored in those database tables, and demonstrate various data processing activities using data query language and data manipulation language.
What topics will you cover?
- Data wrangling using Python
- Designing databases
- Introduction to SQL
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Demonstrate data wrangling, manipulation and transformation activities in Python
- Create database tables using the data definition language and add data records using data manipulation language
- Query the data stored in those database tables
- Demonstrate various data processing activities using data query language and data manipulation language
Who is the course for?
This course is suitable for:
- business analysis or junior data analysts looking to develop advanced data analytics skills and programming capabilities to progress their careers in data analytics
- someone with existing programming capabilities looking to enter the data analytics field
- an individual lacking the programming capabilities to conduct more advanced data analysis and modelling
What software or tools do you need?
During the ExpertTrack we’ll be using Jupyter notebook. We recommend you use a computer to access these elements.
Who will you learn with?
I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science/Analysis.
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
Want to know more about learning on FutureLearn? Using FutureLearn
Get a taste of this course
Find out what this course is like by previewing some of the course steps before you join: