This course presents a gentle introduction into the concepts of data analysis, the role of a Data About; Instructors; Syllabus; Reviews; Enrollment Options; FAQ.
Course Description. This course prepares students to gather, describe, and analyze data, and use advanced statistical tools to make decisions on operations, risk ...
Data Analytics Course: Duration, Online Courses, Eligibility, Syllabus, Fees, Placements 2021 Data analytics refers to the analysis, interpretation, and ... Details: Companies Using:
This course seeks to present you with a wide range of data analytic techniques and is structured around the broad contours of the different types of data analytics, ...
It is often known as Data Analysis. 2) What is Data Analytics Course Syllabus? Regardless of whether ...
Course Description: This course is designed for students who have no previous knowledge of data analytics but wish to acquire these skills in a short period ...
IE 311.001 – Data Analytics. Course Syllabus: Fall 2017. MW 1:00 PM – 2:15 PM, AG/IT 211. Instructor: Dr. Sojung Kim, Assistant Professor, Department of ...
Course Syllabus: Data Analytics - CS 220. Division This course covers the basic concepts and algorithms for artificial intelligence, data mining and machine.
We will examine the basic tools for statistical analysis, R and Python, and several machine learning algorithms. The emphasis of the course will be on mastering ...
Some prior quantitative experience in programming, calculus, statistics, mathematical models, or linear algebra will be necessary. This open graduate course will ...
Data Analysis is a course centered in the collection, orga- nization and descriptive analysis of statistical data. This course is also often called Descriptive Statistics.
Course website for Data Analytics (CS40003), IIT Kharagpur. An outline of the course is as follows. You can also download the syllabus for your reference.
COURSE OUTCOMES: The students will be able to: • Identify Big Data and its Business Implications. • List the components of Hadoop and Hadoop Eco-System.
Python for data analysis Intro to statistics Inferential statistics Regression and Anova Exploratory data analysis Supervised machine learning.