Data Analytics With
Python
Data Analytics with Python Course
A 20-hour remote data analytics with python course. Designed for beginner to intermediate level participants.
Data analysis is key to the success of almost every company and every sector of the economy. With more available every day, the capacity to collect, store, analyze, interpret, and communicate this data effectively is critical to the performance of any organization. Used to inform strategy, improve quality, reach audiences, manage operations, and track finances, data analytics is a core competency in the workforce. In this 20-hour course sequence, you will get the skills you need to succeed in the booming information technology and analytics marketplace. Learn how to gather, prepare, and analyze data with Python – the most important and sought-after programming language in the field of information technology and analytics today.
Data Analytics with Python Course
A 20-hour remote data analytics with python course. Designed for beginner to intermediate level participants.
Data analysis is key to the success of almost every company and every sector of the economy. With more available every day, the capacity to collect, store, analyze, interpret, and communicate this data effectively is critical to the performance of any organization. Used to inform strategy, improve quality, reach audiences, manage operations, and track finances, data analytics is a core competency in the workforce. In this 20-hour course sequence, you will get the skills you need to succeed in the booming information technology and analytics marketplace. Learn how to gather, prepare, and analyze data with Python – the most important and sought-after programming language in the field of information technology and analytics today.
Daily Challenges Faced
As a data analytics professional, you will face many challenges throughout your working day…
- Data is hard to get – sometimes the databases you use will not make sense, or the data is not available.
- Data is messy – most of the time, data is not in an easily available or useable format.
- Manual tasks – whenever possible, we should try to automate our tasks to reduce redundancy.
Why Use Python
- Python can work on very large datasets – with ease! It makes analyzing data from a few thousand rows to a few million rows very easy.
- It can perform complex operations – from machine learning, to web development.
- Python’s code can be saved and re-run – making processes automated and a huge time saver.
Included in the Course
- Certificate/ badge of completion
- Data analytics E-Book
- GitHub Profile
- 2 Data Analytics projects published onto GitHub
- Mentorship and career advice
Upcoming Data Analytics with Python Classes
For more info about this course, download the PDF using this form.
Other Trainings
From learning about DevOps to sharpening your Agile Engineering skills – ICAgile certifications are crucial in embracing the Lean-Agile mindset.
Cybercriminals are becoming increasingly sophisticated, but with our training
programs you can learn how to protect your business from them.
From machine learning to SQL
programming – our Data Analytics training will help you become an expert data analyst.
Enter the world of Lean Six Sigma and discover the Lean manufacturing and Lean enterprise benefits.
Become an ISO/IEC certified information security implementer or auditor able to work in any organization.
Learn how to help businesses prepare for and deal with disruptive events that threaten their operation.