Where can I learn Data Analytics for free?

Where can I learn Data Analytics for free?
Published on

The digital transformation of businesses is generating high amounts of data each time we are on social media, order goods online, or book an app cab. The data explosion is further disrupted with a slew of new technologies like Artificial Intelligence (AI) and Internet of Things (IoT) and leveraged for Machine Learning (ML) models.

As automation is the mainstay of every successful business story, companies want to harness all this data for a competitive edge that improves their products and services. With Data Analytics becoming a mainstream business adoption, whether, by an SMB (small to medium business) or a large enterprise, Data Analysis skills are emerging as one of the most sought-after skills today. Companies want Data Analysts with a broad understanding of data storage and processing and the underlying technologies. However, the demand for Data Analytics skills far outpaces the supply. The scarcity of talent is why you must specialize in Data Analytics and future-proof your career in an increasingly data-driven world.

If you are considering a career in Data Analytics, and are not sure where to begin, consider Free Data Analytics Courses. They are available online and come with learning modules and videos. 

Before we round up a list of some free data analytics courses, let us explore what to consider when selecting a free Data Analytics course. 

What to look for

When we talk of free data analytics courses, we refer to the short courses offered by knowledge platforms and e-learning portals. These courses are essentially an introduction to Data Analytics and analytical tools. Such free courses on Data Analytics may or may not include learning modules and videos, quizzes, interactive sessions, project ideas, datasets, or links to online resources. All you need to do is register for the course to download and access it. No upfront fees are involved.

Here are a few important considerations when selecting a free Data Analytics course:

Course Duration

Free Data Analytics courses are generally a curtain-raiser to the world of analytics. They require a few hours of study and videos for a few days or weeks.

Select a course where the duration of the learning path matches your availability.

Intensity of Course

Such courses are usually an introduction to Data Analytics and the skills involved.

They may or may not include capstone projects but offer you an insight into the Data Analytics domain and help you decide whether to opt for a more detailed paid program.

Course Type

Free courses offer a variety of learning topics, from the generic to the specific, with introductory lessons to specialized analytics tools. Some are simplistic, while others provide engaging content with hands-on learning to supplement the theory. Free courses may also be "Free Audit", meaning temporary access to course materials and no Verified Certificates.

Prerequisites

These courses do not have any prerequisites, as they are a general introduction to Data Analytics. However, students of Mathematics and Statistics can understand the subject better.

Support

Free courses are self-study models with minimal or no support. But some courses may offer mentorship or other support on the payment of fees.

Certificate

Some platforms offer free shareable certificates on course completion, or they may require payment of nominal fees.

Where to learn Data Analytics for free

There are plenty of free Data Analytics courses available online. Use the above points to consider which course to take.

Here are some generic and niche free Data Analytics courses:

1. AWS (Amazon Web Services)

If you want to learn Data Analytics in the Cloud Computing environment, you can opt for the free courses from AWS. Take a course at your own pace and learn to extract insights using AWS.

Data Analytics Learning Plan helps you design, build, secure, and maintain analytics solutions in AWS.

Duration: 12 hrs

Data Analytics Fundamentals introduces you to the AWS solutions for data analysis and walks you through the key processes for collecting, processing, analyzing, and presenting your data.

Duration – 30 mts

Serverless Analytics shows you how to connect and synthesize disparate data using tools like AWS IoT Analytics.

Duration – 25 mts

Getting Started with Data Analytics on AWS teaches you the different types of data analytics techniques using a guided project and shows you how to build simple data visualizations in AWS QuickSight.

Duration – 4 hrs

2. Google Analytics

Explore the free courses of digital marketing using the Google Analytics interface.

Google Analytics for Beginners introduces you to digital analytics and demonstrates how to analyze the Audience, Acquisition, and Behavior for campaign tracking and goals.

Duration – 4 to 6 hrs

Advanced Google Analytics focuses on data collection and processing using advanced analysis techniques.

Duration – 4 to 6 hrs

3. IBM

IBM is a global leader in business transformation, and a certificate issued by IBM can help you unlock your potential in data analytics. Some of these offer optional upgrades to paid higher programs.

The IBM Data Analyst Professional Certificate teaches you the job-ready skills for an entry-level data analyst role. It includes hands-on practice using many data sources, project scenarios, data analysis tools, and analytical techniques.

Duration – 11 months with 3 hrs per week

Data Analytics Basics for Everyone teaches you the fundamentals of Data Analytics and gives you a peep into the different learning paths to being a Data Analyst.

Duration – 5 weeks with 2–3 hrs per week

Analyzing Data with Excel builds your analytics skills in Excel.

Duration – 5 weeks with 2–3 hrs per week

Analyzing Data with Python helps you to analyze data in Python.

Duration – 5 weeks with 2–4 hrs per week

4. Microsoft

Tech giant Microsoft brings you Microsoft Excel, the foremost tool for data analysis. It also offers tools like Microsoft Power BI.

The Introduction to Data Analysis using Excel course teaches Excel skills with multiple exercises for practice.

Duration: 4 weeks with 2–4 hrs per week

Microsoft Power BI Data Analyst Certification For Beginners introduces you to data analysis using the Microsoft Power BI tool for Desktop, Service & Mobile.  

Introduction To Data Analytics Using Microsoft Power BI also teaches Power BI to transform your data into interactive visual reports.

Duration – 1.5–3 hrs

5. Simplilearn

This online Bootcamp and online learning and the upskilling platform offer the industry's best Master's programs and certifications. Some courses are free, offering you the chance to explore yourself career-wise and exercise the option to upgrade to higher-paid programs.

The Introduction to Data Analytics Course offers a free course for beginners looking to become data analysts or analytics managers.

Its free Google Analytics Training Course for Beginners helps you learn to set up a Google Analytics account and understand the metrics in digital marketing.

Introduction to Apache Spark Data Analytics for Beginners teaches the basics of Big Data Analytics using the Apache Spark Data Analytics program for a solid foundation through applied learning.

These courses take only 3 hrs of learning and give you a certificate upon completion.

6. Udemy

Udemy is a massive open online course provider for professional adults and students.

It has many high-rated free niche Data Analytics courses.

For instance, Introduction to Data Analysis for Government is an on-demand video to help you become a government data analyst.

Duration – 1hr 12min

Takeaway

Free Data Analytics courses online are not based on fees and are usually a step-up to paid in-depth programs. So while selecting, opt for the one that offers the learning path that interests you and matches your career trajectory.

Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

                                                                                                       _____________                                             

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net