SOURCE: ACTION RESEARCH FORUM
https://www.bing.com/videos/search?q=METADATA&view=detail&mid=E0BBB937040C3E5D03DAE0BBB937040C3E5D03DA&FORM=VIRE POWERRPOINT
LEARN SPSS:
Data science is an interdisciplinary field that uses scientific methods, processes,
algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured,
similar to data mining.
TSQL, MICROSOFT EXCEL, POWER BI, PYTHON,
R, AZURE MACHINE LEARNING, HDISIGHT, SPARK.
Track detail
Each course runs for three
months and starts at the beginning of a quarter. January—March, April—June,
July—September, and October —December. The capstone runs for four weeks at the
beginning of each quarter: January, April, July, October. For exact dates for
the current course run, please refer to the course detail page on edX.org.
* Courses can be taken
during any course run and in any order. When multiple course options are listed
for a skill, only one must be completed to satisfy the requirements for graduation.
Analyze And Visualize Data
Option-1
Analyzing and Visualizing Data with Power BI;
Provided by Microsoft
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.
Option-2
Analyzing and Visualizing Data with Excel;
Provided by Microsoft
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.
Communicate Data Insights
Analytics Storytelling for Impact
Provided by Microsoft
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.
Apply
Ethics And Law In Analytics
Ethics and Law in Data and Analytics; Provided by Microsoft
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.
Querying Data with Transact-SQL;
Provided by Microsoft
From querying and modifying
data in SQL Server or Azure SQL to programming with Transact-SQL, learn
essential skills that employers need.
Query Relational
Data
Querying Data with Transact-SQL; Provided by Microsoft
From
querying and modifying data in SQL Server or Azure SQL to programming with
Transact-SQL, learn essential skills that employers need.
Explore
Data with Code
Option-1
Introduction to R for Data Science;
Provided by Microsoft
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.
Option-2
Introduction to Python for Data Science;
Provided by Microsoft
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.
Apply Math and Statistics
to Data Analysis;
Option-1
Essential Math for Machine Learning: R Edition;
Provided by Microsoft
Learn the essential mathematical foundations for machine
learning and artificial intelligence using R. The course 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.
Option-2
Essential Math for Machine Learning: Python
Edition; Provided by Microsoft
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.
Option-3
Essential Statistics for Data Analysis using Excel; Provided by Microsoft
Gain a solid understanding of statistics and basic probability,
using Excel, and build on your data analysis and data science foundation.
Plan and Conduct Data Studies;
Option-1
Data Science Research Methods: R Edition;
Provided by Microsoft
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.
Option-2
Data Science Research Methods: Python Edition;
Provided by Microsoft
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.
Build Machine
Learning Models;
Option-1
Principles of Machine Learning: R Edition; Provided by Microsoft
Get hands-on experience building and deriving insights from machine
learning models using R and Azure Notebooks.
Option-2
Principles of Machine Learning: Python Edition;
Provided by Microsoft
Get hands-on experience building and deriving insights from
machine learning models using Python and Azure Notebooks.
BUILD PREDICTIVE
SOLUTIONS AT SCALE
Option-1
Developing Big Data Solutions with Azure Machine
Learning; Provided by Microsoft
Learn how to build predictive web services for Big Data
workflows using Azure Machine Learning.
Option-2
Analyzing Big Data with Microsoft R;
Provided by Microsoft
Learn how to use Microsoft R Server to analyze large datasets
using R, one of the most powerful programming languages.
Option-3
Implementing Predictive Analytics with Spark in
Azure HDInsight; Provided by Microsoft
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.
FINAL PROJECT
Microsoft Professional Capstone: Data Science; Provided by Microsoft
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 capston e 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.
Microsoft
Professional Program Certificate in Data Science
MACHINE LEARNING:
https://www.google.com/search?rct=j&q=MACHINE%20LEARNING
https://www.google.com/search?rct=j&q=MACHINE%20LEARNING
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