Giving you the knowledge to leverage the value of data to position any business for success. Complete with a myriad of real-life scenarios and case studies.
Introduction to Excel
Even in data science, smaller datasets are processed quicker in Excel rather than Python, R, or SQL. This course gives you the skills you need to crunch numbers in the number one spreadsheet program.
SQL for Data Science Interviews
A hands-on course covering SQL setup and fundamental components, combined with a guided walkthrough of 10 mock interviews with real-world SQL interview questions and expert tips on how to pass them successfully.
5 Course Modules
Module 1 | Data Science Fundamentals
One of the strongest advantages of the 365 Data Science program is that it starts with the basics. Launch your learning journey on solid foundations that will ensure you have the necessary knowledge to tackle advanced topics. Gain an understanding of the data science field and its most important disciplines – statistics, mathematics, and probability.
Module 2 | Programming for Data Science
To work with large quantities of data you need suitable programming tools. In this part of the program, we focus on SQL and Python. Even if you don’t have any prior experience, you will learn how to manage relational databases in SQL, and how to code in Python leveraging some of its most popular libraries like NumPy and pandas. The Python Bootcamp course included in this module will not only take your coding skills to the next level but also give you a problem-solving superpower!
Module 3 | Machine and Deep Learning
Once you have acquired the necessary foundational skills, module three offers you the challenge of more complex topics such as machine and deep learning. Our easy-to-understand explanations coupled with a structured approach empower you to perform different machine learning algorithms in Python. You will even have the chance to learn about neural networks and their application with TensorFlow 2. As usual, every course contains a practical example that teaches you how to bridge theoretical knowledge with real-life application.
Module 4 | Advanced Specialization
Do you want to learn specialized topics related to the application of data science in a particular field? We have got you covered! In this part of the program, you can gain industry-specific insights from proven experts. Expanding on the fundamental statistical and Python programming skills acquired in previous modules, the courses on customer analytics, credit risk management, product management, Python for finance, and AI for business equip you with practical skills that can be applied on the job to create value for your company.
Module 5 | Business Specialization
Even if you’re technically savvy, your organization won’t benefit much without the ability to understand what drives value for your business. Any data scientist worth their salt should realize what creates value for a company, including key performance indicators, how business variables are interrelated, and what makes sense from a strategic points of view. Based on this knowledge, you should be able to extract meaningful insights from data to recommend actionable adjustments that create long-term value. This module provides invaluable business preparation few realize they need before employment.