The 5 Best Data Analytic Courses in 2024

Data grows at an exponential rate. It’s quite literally all around us, constantly being gathered and managed by companies. But data in its raw form is useless. Companies need talented analysts who can navigate data streams, unearth patterns and trends, and generate valuable insights to drive innovation and strategic decision-making.

You might be thinking about a career in data analytics but are unsure of where to start. That’s where this article will help you. 

We'll take a look at the following 5 courses

1. Growth Tribe - Data fundamentals certificate
2. CareerFoundry - Data Analytics
3. MBS - Data visualisation
4. LSE - Data Analytics
5. Growth Tribe - Data visualisation & storytelling

👉 Check out this E-book about upgrading your career in data analytics. 

The benefits of taking a data analytics course

Alright, future data wizards, gather around! 📊💫

In a world where data reigns supreme and digital solutions is the name of the game, the field of data analytics stands tall like a beacon of opportunity in a sea of uncertainties.

Let's dive right into why hopping onto the data analytics train could be the best decision you make for your career in 2024.

Future-Proof Your Career 🚀

According to the World Economic Forum, big data analytics is set to grow exponentially by 2027, with a whopping 80% of organisations jumping on the data bandwagon.

That means? Your career in data analytics could be as secure as Fort Knox.

From automotive to aerospace, and everything in between, industries are waiting for data-savvy experts like you to turn raw data into gold.

Cha-Ching! High Earning Potential Ahead 💰

In the realm of data analytics, the paychecks are as big as the insights you'll uncover.

We're talking beginner salaries averaging $93,200 a year, with experienced analysts raking in a cool $162,322 annually. Need I say more?

If you're the type who thrives on a challenge, welcome to your new playground.

Being a data analyst isn't just about crunching numbers; it's about unlocking the secrets hidden within those digits and steering businesses toward success with your strategic insights.

But hey, before you start drafting your resignation letter to pursue your dreams of becoming a data guru, let's take a look at what you can expect from a data course. 👇

What to expect from a Data course?

In a world where every click, tap, and scroll leaves a digital footprint, data analytics isn't just a skill—it's a superpower.

Businesses far and wide are hungry for savvy data analysts to help them navigate the labyrinth of their data.

But before you dive headfirst into an online course, let's make sure you're geared up and ready to conquer the data jungle. Here's what you can expect:

With a data course, you'll be learning everything from data manipulation to statistical analysis, and even dabbling in programming languages like Python or R.

These programmes cover all the bases to ensure you're armed to the teeth with the skills employers crave.

🎓 🎓 🎓 

Completing a programme isn't just about adding another line to your resume; it's about snagging those shiny certifications that scream, "I know my stuff!" Employers love 'em, and you'll love the doors they open.

Alright, let's take a look at the top 5 training programmes out there! 

Every training has its unique features with different learning journeys. 

Always try to find a training programme in data analytics that suits your needs and best fits you as a person!

1. Growth Tribe - Data fundamentals certificate

Growth Tribe offers a unique learning experience for both individuals and organisations looking to upskill their employees with practical experience.

Companies can build their own customised learning journey on their own online learning platform. Every student will receive a certificate of completion after finishing their courses. 

The Data fundamentals course is a great way to get certified in valuable data skills, improve your performance, and future-proof your career.

You'll equip yourself with the skills to lead data projects with precision. Discover self-renewing processes, operationalisation techniques, and peer review best practices for unrivalled project success.

Duration: 19 hours of content

Costs: €995,-

Rating: 4.3/5

Completed students: 773

Language: English

Level: Beginner

🔥 This course has an internationally recognised analyst certification! 

Who is this course for?

• Data beginners across all industries
• Anyone lacking confidence when it comes to understanding data
• Anyone unsure how data can be used to achieve better outcomes

The data fundamentals course by Growth Tribe is designed to elevate your understanding of data types, algorithms, and transformation, empowering you to extract meaningful insights from any dataset.

You'll master descriptive analysis, data warehousing, and the art of experimentation, propelling your career to new heights in the world of data-driven decision-making.

7 modules | 75 lessons | 23 videos | 7 tests | 7 exercises

• Module 1: Data literacy
• Module 2: Analytics
• Module 3: Experimentation
• Module 4: Advanced analytics
• Module 5: Data visualisation
• Module 6: Data teams
• Module 7: Data projects

👉 Try out this course for free with a full demo of the learning platform.

Need more information? Download the brochure here.

 Training more than 5 people? Check out their corporate learning solutions here.

2. CareerFoundry - Data Analytics

CareerFoundry is an online career academy for aspiring tech professionals. with this online programme, you'll learn the skills of a data analyst, learn how to leverage AI and work with expert mentors and career specialists to stay ahead of your peers. 

Duration: 15-40 hours per week for max. 10 months

Costs: €6555,-

Rating: N/A

Completed students: N/A

Language: English

Level: Beginner

Who is this course for?

• If you’ve got an interest in data analytics and the motivation to transform your career, you don’t need a background in data or tech.
  
  
• You can study part-time at 15-20 hours per week to finish the program in 10 months; or complete the program in as little as 6 months by studying up to 30-40 hours per week.
  
  
• You’ll need written and spoken English skills at level B2 and higher, and a computer (macOS, Windows, or Linux) with a webcam, microphone, and an internet connection.

During this course, you'll learn essential skills including data analysis, testing, visualization, dashboarding, querying, and more.

The project-based curriculum takes you through theory and into immersive tasks, and you'll put everything you learn to immediate practical use through hands-on projects you’ll build your extensive portfolio around.

This course is 100% online 

4 curriculums

1. Introduction to data analytics
2. Data immersion
3. Data specialisation
4. Job Preparation

👉 Check out the course here. 

3. MBS - Data Visualisation 

The Melbourne Business School launched an online data analytics course to solve complex business problems and enhance storytelling through data visualisation. Gain a comprehensive understanding of data and visualisation tools, including Tableau.

Duration: 5 - 7 hours per week for 6 weeks

Costs: $1.750 AUSD

Rating: N/A

Completed students: N/A

Language: English

Level: Beginner

Who is this course for?

• Mid-level managers or professionals passionate about solving complex business problems cultivate storytelling for a more data-literate experience within their role.
  
  
• Business owners or entrepreneurs looking to understand data-driven insights to improve their organisations.
  
  
• Professionals in IT industries who want to become champions of data visualisation and inspire others to support and execute future data patterns, outliers, and trends.

During this course, you'll learn about data visualisations using world-class software and tools. You'll navigate your way through interactive charts and visual elements using innovative dashboards

6 weeks

• Week 1: Introduction to Visualising Data 
• Week 2: Data visualisation in Tableau
• Week 3: Designing dashboards
• Week 4: Dashboard accessibility and adoption
• Week 5: Responsible storytelling
• Week 6: Working as a high-performing data analyst

👉 Check out the course here.

4. LSE - Data Analytics 

Duration: 15 - 20 hours per week for 6 months

Costs: £8.395,-

Rating: 4.6/5

Completed students: N/A

Language: English

Level: Beginner

Who is this course for?

This analytics certification programme by LSE is for everyone who wants to:

• Get an accelerated start to a high-growth career as a data analyst
• Open new job opportunities with practical data analytics knowledge
• Switch to a data analyst role, from a related or unrelated field

During this analytics course, you'll learn everything about 

• The technical skills needed to perform in real-world roles.
  
  
• The understanding necessary to translate those skills into meaningful business value.
  
• The human skills crucial for gaining and retaining jobs 
  
  
• The reflective practices, essential for ongoing growth.

This Career Accelerator connects LSE’s world-leading teaching and research with relevant industry practice.

You’ll leave the programme with the critical-thinking skills and growth mindset shaped by a world-class university, along with a portfolio that demonstrates the technical abilities you need to excel in high-growth roles in the digital economy.

👉 Check out the course here.

5. Growth Tribe - Data visualisation & storytelling certificate

Next to the Data Fundamental course offered by Growth Tribe, they have another unique course focused on data visualisations & storytelling.

Tell the story of data with visuals and a narrative that cannot be ignored. Engage your audience with the power of data today and translate data into impact.

Duration: 20 hours of online content

Costs: €995,-

Rating: 4.7/5

Completed students: 1015

Language: English

Level: Beginner

Who is this course for?

• Beginners who want to learn how to tell compelling stories with data
• Functional analysts interested in improving their data communication
• Professionals looking to visualise data for impact

This course covers a wide range of topics, including:

• Data visualisation principles and best practices
• Creating effective charts and graphs
• Storytelling techniques for data communication
• Designing impactful presentations
• Strategies for connecting with your audience

Save time and stay focused on success. We've carefully curated the essential tools, sparing you from the chaos of trial and error. Enjoy a structured learning experience with step-by-step guidance on using each tool effectively.

6 modules | 61 lessons | 26 videos | 6 tests | 6 exercises

• Module 1: Data visualisation - Quick start
• Module 2: Data visualisation - The basics
• Module 3: Data visualisation - The method
• Module 4: Data storytelling - Creating an outline
• Module 5: Data storytelling - Enriching your outline
• Module 6: Data presentation - presenting analytical findings

🔥 This course has an internationally recognised analytics certification

👉 Try out this course for free with a full demo of the learning platform.

Need more information? Download the brochure here.

FAQ

What are the prerequisites for taking a data analytics course?

Prerequisites can vary depending on the specific course and institution offering it. However, a solid foundation in mathematics, statistics, and computer science is often recommended. Some courses may also require knowledge of programming languages such as Python or R.

What types of careers can I pursue after completing a data analytics course?

Data analytics courses can prepare you for a variety of careers in fields such as data analysis, business intelligence, data science, and machine learning. Graduates often find employment as data analysts, business analysts, data scientists, and data engineers in industries such as finance, healthcare, e-commerce, and technology.

How long does it typically take to complete a data analytics course?

The duration of data analytics courses can vary widely depending on factors such as the course format (online, part-time, full-time), the depth of material covered, and the individual's prior knowledge and learning pace. Some courses may be completed in a matter of weeks, while others may take several months to a year or more.

Are there any free data analytics courses available?

Yes, there are many free resources and courses available online that cover various aspects of data analytics. Platforms such as Coursera, edX, and Khan Academy offer free courses on topics ranging from basic statistics to advanced machine learning. Additionally, there are numerous tutorials, blog posts, and open-access textbooks available for self-study.

Do data analytics courses offer certifications, and are they valuable?

Many data analytics courses offer certifications upon completion, which can be valuable for demonstrating your skills and knowledge to employers. However, the value of a certification ultimately depends on factors such as the reputation of the issuing institution, the relevance of the course material to your desired career path, and the specific requirements of the job market in your industry. It's important to research and choose courses that align with your goals and interests.

Are online data analytics courses as effective as traditional classroom-based courses?

Online data analytics courses can be just as effective as traditional classroom-based courses, especially for individuals who prefer the flexibility of self-paced learning or have other commitments that make attending in-person classes difficult. However, the effectiveness of any course ultimately depends on factors such as the quality of the curriculum, the expertise of the instructors, and the level of engagement and effort put forth by the student.

What sets apart the best data analytics courses from the rest?

The best data analytics courses often feature a comprehensive curriculum that covers a wide range of topics, including statistical analysis, data visualization, machine learning, and data mining. They also typically provide hands-on experience with real-world datasets and practical projects that allow students to apply their skills in a meaningful way. Additionally, top-rated courses often have experienced instructors, positive reviews from past students, and industry recognition or accreditation.