11 Data Science Skills. 1.5 Million Jobs. Get Skilled with the Microsoft Professional Program for Data Science
Opportunities for data scientists—one of today’s hottest jobs—are rapidly growing in response to the exponential amounts of data being captured and analyzed. Companies hire data scientists to find insights and to solve meaningful business problems.
You don’t have to follow the courses in the specific order, but some courses are related. Some steps offer your various options, so you can choose.
We believe that learning should be for free, and therefore everyone can take the online courses, including doing the exercises and labs. You can decide after finishing a course if you would like to invest in a Microsoft certificate (when you passed the course succesfully 🙂 ). There are also different learning options: blended or in-class, for which you would have to pay. More info about these options can be found here.
Step 1: Make sure you have Microsoft Account Email Address*. This email address will be your backbone!
Step 2: Register with this Microsoft Account Email Address at the DataChangers Academy. You will now be ready to enroll for any course!
Step 3 (Optional): If you want to obtain a Microsoft Professional Program Certificate in Data Science, please enroll also at the Microsoft Professional Program Track. You have to sign in with your Microsoft Account Email Address. In order to obtain this final certificate, you would have to get certified for the required Data ScienceTrack courses at the DataChangers Academy, including the capstone.
If you have any questions regarding this track, please drop us a note.
Data Science Track
Course 1:Introduction to Data Science
This course will get you started on your Data Science journey.
Course 2a:Analyze and Visualize Data with Excel
Explore tools in Excel that enable the analysis of more data than ever before, with improved visualizations and more sophisticated business logic. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. Note: to prepare yourself for step 2, you can follow Introduction to Data Analysis using Excel
Course 2b: Analyze and Visualize Data with PowerBI
Learn how to connect and visualize your data with Microsoft Power BI. Find out how to import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Create dashboards and share with business users on the web and on mobile devices. Note: to prepare yourself for step 2, you can follow Introduction to Data Analysis using Excel
Course 3:Analytics Storytelling for Impact
Learn effective strategies and tools to master data communication in the most impactful way possible—through well-crafted analytics stories. Find out how stories create value and why they matter. Learn to craft stories, command the room, finish strong, and assess your impact. Get practical help applying these ideas to your data analytics work. Plus, you’ll learn guidelines and best practices for creating high-impact reports and presentations.
Learn to apply ethical and legal frameworks to initiatives in the data profession. You will explore practical approaches to data and analytics problems posed by work in Big Data, Data Science, and AI. You will also investigate applied data methods for ethical and legal work in Analytics and AI.
Course 5:Querying with Transact-SQL
From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need.
Course 6a:Introduction to R for Data Science
Learn the basics of R programming. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.
Course 6b: Introduction to Python for Data Science
Learn the basics of Python programming. Starting from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.
Learn the essential mathematical foundations for machine learning and artificial intelligence using R. The couse focuses on mathematical concepts that you’ll encounter in studies of machine learning. It is designed to fill the gaps for students who missed these key concepts as part of their formal education, or who need to refresh their memories after a long break from studying math.
Learn the essential mathematical foundations for machine learning and artificial intelligence using Python. The couse focuses on mathematical concepts that you’ll encounter in studies of machine learning. It is designed to fill the gaps for students who missed these key concepts as part of their formal education, or who need to refresh their memories after a long break from studying math.
Gain a solid understanding of statistics and basic probability, using Excel, and build on your data analysis and data science foundation.
Course 8a:Data Science Research Methods: R Edition
Learn the essential skills and hands-on experience with the science and research aspects of data science work using R, from setting up a proper data study to making valid claims and inferences from data experiments.
Learn the essential skills and hands-on experience with the science and research aspects of data science work using Python, from setting up a proper data study to making valid claims and inferences from data experiments.
Get hands-on experience building and deriving insights from machine learning models using R and Azure Notebooks.
Get hands-on experience building and deriving insights from machine learning models using Python and Azure Notebooks.
Course 10a: Predictive Analytics with Spark in Azure
Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. Find out how to cleanse and transform data, build machine learning models, and create real-time machine learning solutions using Python, Scala, and R with Apache Spark.
Course 10b: Analyze Big Data with Microsoft R
Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.
Learn how to build predictive web services for Big Data workflows using Azure Machine Learning.
Showcase the knowledge and skills you’ve acquired during the Microsoft Professional Program for Data Science, and solve a real-world data science problem in this program capstone project. The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade. Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Data Science.
*Please use a Microsoft Account email address (formerly know as Windows Live ID, like @hotmail.com, @outlook.com) to register at the DataChangers Academy if you want to obtain a certificate after finishing the courses. If you don’t have one yet, you can create one here for free.