Introduction to Knowledge Analytics

About this Course

This course presents a mild introduction into the ideas of knowledge evaluation, the position of a Knowledge Analyst, and the instruments which can be used to carry out day by day capabilities. You’ll acquire an understanding of the info ecosystem and the basics of knowledge evaluation, comparable to information gathering or information mining. You’ll then be taught the tender expertise which can be required to successfully talk your information to stakeholders, and the way mastering these expertise can provide the choice to develop into a knowledge pushed choice maker.

This course will assist you to distinguish between the roles of a Knowledge Analyst, Knowledge Scientist, and Knowledge Engineer. You’ll be taught the duties of a Knowledge Analyst and precisely what information evaluation entails. It is possible for you to to summarize the info ecosystem, comparable to databases and information warehouses. You’ll then uncover the most important distributors throughout the information ecosystem and discover the assorted instruments on-premise and within the cloud. Proceed this thrilling journey and uncover Massive Knowledge platforms comparable to Hadoop, Hive, and Spark. By the top of this course it is possible for you to to visualise the day by day lifetime of a Knowledge Analyst, perceive the completely different profession paths which can be out there for information analytics, and establish the numerous assets out there for mastering this career. All through this course you’ll be taught the important thing features to information evaluation. You’ll start to discover the basics of gathering information, and studying easy methods to establish your information sources. You’ll then learn to clear, analyze, and share your information with using visualizations and dashboard instruments. This all comes collectively within the ultimate challenge the place it’ll take a look at your information of the course materials, discover what it means to be a Knowledge Analyst, and supply a real-world state of affairs of knowledge evaluation. This course doesn’t require any prior information evaluation, spreadsheet, or pc science expertise. All you have to get began is fundamental pc literacy, highschool stage math, and entry to a contemporary internet browser comparable to Chrome or Firefox.

This course is a part of a number of applications

This course will be utilized to a number of Specializations or Skilled Certificates applications. Finishing this course will depend in direction of your studying in any of the next applications:

• IBM & Darden Digital Technique Specialization
• Knowledge Evaluation and Visualization Foundations Specialization

WHAT YOU WILL LEARN

• Clarify what Knowledge Analytics is and the important thing steps within the Knowledge Analytics course of.

• Differentiate between completely different information roles comparable to Knowledge Engineer, Knowledge Analyst, Knowledge Scientist, Enterprise Analyst, and Enterprise Intelligence Analyst.

• Describe the various kinds of information constructions, file codecs, sources of knowledge, and information repositories.

• Establish key components within the Knowledge Analytics course of by analyzing a enterprise case research and its information set.

SKILLS YOU WILL GAIN

• Knowledge Science
• Spreadsheet
• Knowledge Evaluation
• Microsoft Excel

Syllabus – What you’ll be taught from this course

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WEEK

1

2 hours to finish

What’s Knowledge Analytics

On this module, you’ll be taught concerning the various kinds of information evaluation and the important thing steps in a knowledge evaluation course of. You’ll acquire an understanding of the completely different elements of a contemporary information ecosystem, and the position Knowledge Engineers, Knowledge Analysts, Knowledge Scientists, Enterprise Analysts, and Enterprise Intelligence Analysts play on this ecosystem. Additionally, you will be taught concerning the position, duties, and skillsets required to be a Knowledge Analyst, and what a typical day within the lifetime of a Knowledge Analyst appears to be like like.

WEEK

2

3 hours to finish

The Knowledge Ecosystem

On this module, you’ll be taught concerning the various kinds of information constructions, file codecs, sources of knowledge, and the languages information professionals use of their day-to-day duties. You’ll acquire an understanding of assorted kinds of information repositories comparable to Databases, Knowledge Warehouses, Knowledge Marts, Knowledge Lakes, and Knowledge Pipelines. As well as, you’ll be taught concerning the Extract, Rework, and Load (ETL) Course of, which is used to extract, remodel, and cargo information into information repositories. You’ll acquire a fundamental understanding of Massive Knowledge and Massive Knowledge processing instruments comparable to Hadoop, Hadoop Distributed File System (HDFS), Hive, and Spark.

WEEK

3

2 hours to finish

Gathering and Wrangling Knowledge

On this module, you’ll be taught concerning the course of and steps concerned in figuring out, gathering, and importing information from disparate sources. You’ll be taught concerning the duties concerned in wrangling and cleansing information with a purpose to make it prepared for evaluation. As well as, you’ll acquire an understanding of the completely different instruments that can be utilized for gathering, importing, wrangling, and cleansing information, together with a few of their traits, strengths, limitations, and functions.

WEEK

4

2 hours to finish

Mining & Visualizing Knowledge and Speaking Outcomes

On this module, you’ll be taught concerning the position of Statistical Evaluation in mining and visualizing information. You’ll be taught concerning the varied statistical and analytical instruments and strategies you should use with a purpose to acquire a deeper understanding of your information. These instruments assist you to grasp the patterns, traits, and correlations that exist in information. As well as, you’ll be taught concerning the varied kinds of information visualizations that may assist you talk and inform a compelling story along with your information. Additionally, you will acquire an understanding of the completely different instruments that can be utilized for mining and visualizing information, together with a few of their traits, strengths, limitations, and functions.