Simplilearn’s Free Data Analytics Course with Certification

If you’re just starting out in data analytics, this is the perfect program for you. This beginner’s data analytics program is crafted to provide a strong base for individuals interested in working with diverse data sets, utilizing data visualization techniques for effective decision-making, and applying data analytics across various industries.

Whether you aspire to be a data analyst or an analytics manager, this program equips you with the knowledge and skills needed to understand data analytics and data science methods, enabling you to make more informed business decisions.

Key Features of this Course

Self-paced learning
Introduction to key Data Analytics concepts
Free of cost
Short Duration
Online Accessibility
Beginner-friendly
Earn a Certification

About Simplilearn’s Free Data Analytics Course

Many organizations collect a lot of data to help them make better decisions and improve their products and services. Data analytics is the process of gathering and analyzing this data to find patterns and insights. It involves taking raw data, preparing it, and analyzing it to discover hidden trends, which can be used to make informed decisions.

Start your data analytics journey with this free course from Simplilearn. It’s for beginners who want to learn about different types of data and how to draw useful conclusions from it. The course gives a broad overview of data analytics and is helpful for entrepreneurs or data analysts, managers, and executives.

If you’re interested in working with data and have some basic knowledge of math, Excel, and data analytics terms, you can begin learning with this self-paced course designed to make data analytics easy.

The free course covers various topics, including types of data analytics, data visualization, and current trends in data analytics. It’s a good starting point for those looking to start a career in data analytics.

Free Data Analytics Course Overview

Course Introduction:

An introduction to the course itself

Data Analytics Overview:

Understanding the importance of data analytics, its impact on accounting, and the various types of data analytics.

Dealing with Different Types of Data:

Explanation of data analytics terminologies, data types, and levels of measurement..

Data Visualization for Decision Making:

Exploring data visualization, its significance, and commonly used visualizations for decision-making.

Data Science, Data Analytics, and Machine Learning:

Insights into the domains of data science, data analytics, and machine learning, their overlaps, and real-world applications.

Data Science Methodology:

The methodology of data science, from understanding business needs to deploying solutions.

Data Analytics in Different Sectors:

How data analytics is utilized across various industries, including examples from Google, Amazon, healthcare, and more.

Analytics Framework and Latest Trends:

Case studies, analytics framework, and emerging trends in data analytics such as graph analytics and open-source AI.

Frequently Asked Questions

What is the cost of this data analytics course?

This course is completely free. It’s an excellent opportunity for individuals to learn about data analytics without any financial burden, making it accessible to a wide range of learners who want to explore this field.

What are the requirements for the free data analytics course?

There are no requirements for this course. Anyone with an interest in data analytics can join. Whether you have a background in the field or you’re a complete beginner, you are welcome to enroll in the course.

Will I get a certificate after completion of this free data analytics course?

Yes, you will get a certificate when you complete this free data analytics course. It can be a valuable addition to your credentials, demonstrating your commitment to learning and understanding data analytics.

What is the duration of this free data analytics course?

This course consists of three hours of self-paced videos. This duration is a rough estimate, and it can vary depending on your individual learning pace and the time you choose to dedicate to the course.

How will this course benefit my career in data analytics?

This course will improve your career prospects. You can apply for data-related jobs like data scientists, data analysts, and data architects. Artificial Intelligence and Machine Learning applications have increased the need for data analytics and companies are now hiring skilled data analyst professionals.

Will AI replace data analysts?

No, AI will not replace data analysts. However, it has changed the data analysis industry and redefined the job of a data analyst.

Do data analysts require coding?

Yes, data analysts often benefit from having coding skills, but it’s not always a strict requirement. Basic coding skills in languages like Python or R can be very helpful for data analysis tasks, as they enable analysts to manipulate and process data more efficiently.

Is Python compulsory for data analyst?

Learning Python is very important for a data analyst. Employers expect data analysts to simplify data-related tasks using their knowledge of Python libraries.