# AI and ML distance MBA Program - SimpliDistance - PowerPoint PPT Presentation

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## AI and ML distance MBA Program - SimpliDistance

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### Artificial intelligence, data science, machine learning online course are most touted keywords related to careers in demand. Now you will find every institute, MBA College, university offering courses on these. If one goes through the course curriculum, the subject titles seem to be completely Greek. Understanding them can be a nightmare for a novice. – PowerPoint PPT presentation

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Title: AI and ML distance MBA Program - SimpliDistance

1
AI and ML distance MBA Program?
• SimpliDistance

2
What they teach you in AI and ML distance MBA
Program?
• Artificial intelligence, machine learning, data
science are most touted keywords related to
careers in demand. Now you will find every
institute, MBA College, university offering
courses on these. If one goes through the course
curriculum, the subject titles seem to be
completely Greek. Understanding them can be a
nightmare for a novice. Especially when you are
not from statistical or information technology
background. Let us try and understand more about
it.

3
• Data Science or machine learning is about
processing large amounts of data. To store and
process data, one will need different
technologies like files and databases. Using this
data, an important thing machine learning does is
prediction. We know prediction is based on
probability theory. At high level, machine
learning can help prediction Hence foundation of
mathematics and statistics is essential.

4
• Based on this high level understanding, let us
delve deeper into distance MBA program syllabus.
Every institution and college would offer
different course contents based on their focus
and specialization. For easy understanding, we
can categorize the subjects based on their
purpose.

5
AI and ML Distance MBA Foundation
• For data science or machine learning online
course, following subjects are core to the
discipline. Here probability and statistical
methods are covered. Statistics and mathematics
form the foundation for data science and machine
learning.

6
• Business Statistics forms the very foundation of
data analytics. Statistical measures and analysis
reveals lot of intelligent things and patterns
hidden inside the data. All predictive models are
based on probability theory. Business statistics
includes sampling theory, descriptive statistics,
probability theory, discrete probability
distributions, continuous probability
distribution, hypothesis testing, inferential
statistics, liner regression, comparison of two
populations, analysis of variance etc.

7
• Many calculations involve linear algebra and
operations on matrices to solve complex equations
mathematics covers straight line and
applications, non-liner functions,
differentiation, partial differentiation,
integration, linear algebra, matrices and
determinants.

8
AI and ML Distance MBA Data Engineering
• Data science in any distance MBA program would
two parts data engineering and data analytics.
Data engineering focusses on reading and
transforming data read from various sources.
These sources are files, databases,
datawarehouse, social media, website, excel
spreadsheet, streams etc. Subjects in data
engineering help to extract, clean, transform and

9
• This subject deals with how to store past data of
many years in a special repository called data
warehouse and try to analyze patterns to get
insights from the past. This includes
• Online transaction processing (OLTP), On-Line
Analytical Processing (OLAP), N-dimensional
modeling, Star and Snowflakes schema, concept
hierarchies, data warehousing applications and so
on.

10
• Databases and data warehouse process what is
called as structured data. For example, data
stored in the form of rows and columns inside
RDBMS. However this technology cannot process
unstructured data like data stored on social
technology known as Hadoop was introduced so that
it can handle and process voluminous unstructured
data growing at a very high velocity. It includes
Hadoop ecosystem, Map Reduce, Hive, Hbase, PIG,
Spark, Sqoop, Kafka etc.

11
AI and ML Distance MBA Data Science/ Machine
Learnig Platforms
• Programming languages like R or python are used
to build customized predictive models. However,
there are many platforms (proprietary as well as
open source) which allow the user to create
models using the graphical interface with clicks
and no programming. WEKA, SAS are some of such
examples.

12
• Every program in distance MBA in AI and ML is
designed with different combinations of subjects
based on the focus and market demand. Based on
the job role, the specialization would differ.
Some of the popular profiles are Data engineer,
Data analyst, Data scientist, Project manager.  I
hope this quick round up of subjects would help
you choose appropriate distance MBA course in AI
and ML and take your career to the next orbit.

13
Conclusion
• SimpliDistance is a neutral platform where you
will get authentic/genuine updated information