Data Analyst Course for Beginners

What you'll learn in this course

1️⃣ Understand the fundamentals of data analysis, including the data analysis cycle and common mistakes to avoid

2️⃣ Learn how to ask the right questions of data to derive meaningful insights and make data-driven decisions

3️⃣ Master techniques in data visualization and correlation analysis to effectively communicate findings

4️⃣ Apply data analysis concepts to real-world scenarios, such as business and data analytics, funnel analysis, and forecasting

5️⃣ Complete practical projects to solidify your understanding and skills in data analysis and analytics

Who you'll learn from

Jesse Farmer

Jesse Farmer, co-founder of Dev Bootcamp and CodeUnion, focuses on making programming education accessible; learn more at 20bits.com.

Cătălin Buruiană

Hi! I'm Catalin from the Enki team. With over 20 years of coding and education experience, I'm excited to share my knowledge and help you learn.

What's inside

This Data Analysis online course is the fastest way to learn data analysis from scratch

You will learn the fundamentals of data analysis—a comprehensive introduction to data analysis techniques.

Data analysis is a critical skill in today's data-driven world, used across various fields such as business, finance, marketing, and technology. With an ever-growing demand for data-savvy professionals, learning data analytics opens up numerous career opportunities.

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1:1 AI Coaching

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Personalized Exercises

Interactive Practice

Check out this short video if you want to see a short demo of the platform, including the interactive coding playground and the AI mentor.

This is the easiest way you can learn—thanks to our AI Mentor

The AI mentor helps you learn efficiently by providing real-time support and reducing the frustrations typically associated with learning new concepts.

Highlight anything that’s confusing to explain it

All your work, reviewed

Ask for hints whenever you get stuck

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Enki was the perfect format for busy people - short, concise and well-formulated lessons.

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FAQs

Who is this course for?

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This Data Analysis course for beginners is perfect for anyone looking to dive into the world of data analysis and analytics, whether you're a complete beginner, a professional seeking to add a new skill, or someone transitioning into tech. It's especially beneficial for professionals in fields like marketing, sales, finance, or operations who want to leverage data to make informed decisions, optimize processes, and enhance business outcomes. If you have an interest in data science, business analytics, or just want to understand how to interpret and use data effectively, this course will set you on the right path, enabling you to unlock new insights and efficiencies in your current role.

What if data analysis isn’t for me?

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That's okay! Not everyone needs to become a data analyst, but understanding the basics of data analysis can be incredibly beneficial in today's data-driven world. Our course is designed to be engaging and accessible, so you'll get a taste of data analysis without feeling overwhelmed. Plus, you'll gain valuable problem-solving and critical-thinking skills that are applicable in many fields.

What if I have no experience?

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No experience? No problem! This course is crafted as an introduction to data analysis with beginners in mind. We start from the very basics and build up your knowledge step-by-step. You'll have plenty of exercises and real-world examples to ensure you understand each concept before moving on.

How long does it take to learn data analysis?

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The time it takes to learn data analysis varies depending on your schedule and dedication. On average, our course is designed to be completed in about 2 weeks if you dedicate a few hours each week. However, you can move at your own pace, making it flexible to fit your lifestyle.

Why purchase this course when I can learn on my own?

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We believe this course is the fastest way to get started with data analysis. While self-learning can be a rewarding experience, it often involves a lot of trial and error, which can be time-consuming. We break down complex concepts into simple, digestible parts, and our step-by-step approach ensures that you're never left wondering what to do next. Plus, you'll get to work on practical data analysis projects like performing a funnel analysis, and our AI mentor is always at hand to help fill any gaps in your understanding.

How will data analysis skills help me?

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Learning data analysis opens up a world of opportunities. It's one of the most in-demand skills in today's job market, used in business intelligence, marketing, finance, and more. By mastering data analysis, you'll enhance your career prospects, make data-driven decisions, and even uncover insights that can drive business growth.

How much does Enki cost? Is there a free trial?

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Getting started with Enki doesn't cost anything, as we offer a 7-day free trial. After the trial, you can choose between a monthly subscription for $25 or an annual subscription for $120. Both options provide unlimited access to all our data analysis courses, modules, and projects, along with access to the AI Mentor. This subscription model allows you to learn at your own pace and access the course materials for as long as you need.

Do I get a certificate?

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Yes, upon completion of the course, you'll receive a data analytics certification that you can proudly display on your LinkedIn profile or resume. This certified data analyst certification is a testament to your hard work and new skills, helping you stand out in the job market.

Full Curriculum

1. Fundamentals of Data Analysis

We start by getting accustomed to the basics of data and data analysis - focusing on key techniques and top mistakes.

Look at top mistakes and biases people make when working with data
Understand the data analysis cycle
Look at different data structures and types of data
Learn to ask the right questions about data
Learn what makes a good visualization or report

2. Applied Data Analysis Techniques

We take it up a notch and we start studying advanced analysis techniques in an applied way.

Learn how to correlate different series of data, and look out for top pitfalls
Apply basic forecasting techniques on time-series data
Understand what makes a good KPI
Perform funnel analysis on marketing and sales scenarios
Top tips for interpreting data for decision making
Learn how to perform efficient A/B tests

Applied Projects

Once you're comfortable with the basics, you'll move on to content specialized to your goals. You'll work through real-world projects that teach you about analyzing data, building apps, scraping the web, or integrating APIs.