Data Analytics Live Training

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This online Data Analytics course provides a comprehensive introduction to the fundamentals of data analysis and is designed to deliver the foundational knowledge and practical skills needed to analyse and interpret large sets of data. Through this course, you will learn how to use data analytics tools and techniques to identify patterns, draw insights, and make informed decisions. You will also gain experience in working with real-world data sets and applying data analysis techniques to solve business problems. You will also learn the fundamentals of using popular data analysis tools like Excel, Python, and R to solve real-world problems.

Whether you’re new to data analysis, you are looking to advance your career in data analytics or you simply want to acquire new skills, this course will provide you with a solid foundation in data analytics with the knowledge and tools you need to succeed.

This online data analytics course is designed for anyone who wants to develop their data analysis skills and gain an understanding of data analytics concepts and tools.
The course is suitable for beginners who have no prior experience in data analytics, as well as those who have some experience but want to enhance their skills and learn new techniques.
The course is also suitable for professionals who want to transition into a data analytics role or improve their data analysis skills for their current job. The course is ideal for individuals who work in fields such as business, finance, marketing, healthcare, and engineering, and who want to use data to make better decisions and gain a competitive advantage.

Module 1: Introduction to Data Analytics

Course Overview

00:00
Data Objects and Attribute Types

00:00
Basic Statistical Descriptions of Data

00:00
Big Data Analytics in Business

00:00
Overview of Common Data Analytics Tools

00:00

Module 2: Data Analysis I

Module 3: Data Analytics II

Module 4: Artificial Intelligence

Module 5: Data Visualization

Module 6: PowerBI

Module 7: Big Data Analytics

Module 8: SQL

Module 9: Data Visualization and Communication.

Module 10: Capstone Project

Understand the basic principles of data analysis, including the importance of data quality, data cleaning, and exploratory data analysis.
Develop skills in data wrangling, including merging, filtering, transforming, and aggregating data using a programming language such as Python or R.
Learn to use statistical techniques to analyze and interpret data, including regression analysis, hypothesis testing, and confidence intervals.
Build proficiency in data visualization and communication, including the ability to create effective charts, graphs, and reports to communicate insights and findings to stakeholders.
Learn to work with structured and unstructured data, including text and image data, and develop skills in natural language processing and computer vision.
Develop practical experience working with real-world datasets and tools commonly used in data analytics, such as SQL, Excel, and Tableau.
Understand ethical considerations in data analytics, including privacy, security, and bias, and develop an understanding of best practices for responsible data collection and analysis.

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ALPHA COHORT Timetable

Level

Beginner
Duration

10 weeks
Last Updated

March 28, 2024
Enrollment validity

Enrollment validity: Lifetime
Certificate

Certificate of completion

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