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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. <br><br>To know more details, visit us at : https://simplidistance.com/what-they-teach-you-in-ai-and-ml-distance-mba-program/<br>
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AI and ML distance MBA Program? SimpliDistance
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.
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.
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.
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.
Business Statistics 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.
Business Mathematics Many calculations involve linear algebra and operations on matrices to solve complex equations in multiple variables. Typically business mathematics covers straight line and applications, non-liner functions, differentiation, partial differentiation, integration, linear algebra, matrices and determinants.
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 load the data.
Data Warehouse and Business Intelligence • 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.
Big Data: Hadoop 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 media like Facebook posts, comments etc. A new 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.
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.
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.
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