What is business data analytics? Why learn business analytics? What does a business data analyst do?

Glad you asked!

We now live in a data-driven economy and companies around the world are in a race to make the best data-driven decisions.

Enter Business Data Analysts (future you!).

Being a Business Analyst is like being a detective.

You use tools (like Python, Facebook Prophet, Google Causal Impact) to investigate and analyze data to understand the past and predict what is most likely to happen in the future. From there, you'll determine the best course of action to take.

Companies need these Analysts because they're able to turn data into $$$.

They use the tools and techniques (that we teach you in this course) to quickly interpret and analyze data and turn it into actionable information and insights. These insights are relied upon to make key business decisions.

And making the right decision can be the difference between gaining or losing millions of dollars.

That's why people with these data analysis skills are extremely in-demand. And why companies are willing to pay great salaries to attract them.

Using the latest industry techniques, this business data analytics course is focused on efficiency. So you never have to waste your time on confusing, out-of-date, incomplete tutorials anymore.

You'll learn by doing by completing exercises and fun challenges using real-world data. This will help you solidify your skills, push you beyond the basics and ensure that you have a deep understanding of each topic and feel confident using your new skills on any project you encounter.

And unlike other online courses and tutorials, you won't be learning alone.

Because by enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.

Most importantly, you'll be learning from an industry professional (Diogo) that has actual real-world experience as a Business Data Analyst. He teaches you the exact tools and techniques he uses in his role.

Finally, this course will be constantly updated as the landscape changes.

Just as the business data analytics & business intelligence ecosystems evolve, we will ensure this course is constantly updated with new lectures and resources so that you will stay at the top of your field.

This course will be your go-to place to get all the latest analytics best practices anytime in the future.

Here's a breakdown of what you'll learn in this course:

The curriculum is very hands-on. But you'll still be taught everything step-by-step, so even if you have limited knowledge in statistics and Python, you'll have no problems getting up to speed.

We start from the very beginning by teaching you the fundamental building block of data analytics.

But we don't stop there.

We'll then dive into advanced topics so that you can make good, analytical decisions and know which tools in your toolbox are right for any project.

1. A/B TESTING AND EXPERIMENTATION

You'll dive deeper into the science of decision-making with A/B Testing and Experimentation. From formulating hypotheses to mastering A/B testing techniques, you'll learn to leverage statistical methods and Python to validate business strategies, drawing insights from significant industry case studies such as Google's subtle nuances in design and Obama's campaign optimizations.

Here's a more detailed breakdown of what you'll learn about A/B Testing:

• Introduction to A/B Testing

You'll dive into a core tenant of business analytics: A/B testing. And we'll make sure it's interesting and fun but focusing on mobile gaming. From setting up your test to analyzing results with Python, you'll learn crucial A/B testing terminology and principles.

• Hypothesis Testing for A/B Testing

Build upon your foundation with hypothesis testing. You'll solidify your new skills with Python exercises and case studies like Google's "41 Shades of Blue" to understand confidence levels and p-values.

• Mastering A/B Testing

Finally you'll A/B testing with Amazon's "Buy Button" case study. Engage with Bayesian A/B testing, sequential testing, and other advanced techniques for nuanced insights.

• Multivariate A/B Testing

Okay I lied, that's not it...because we go from zero to true mastery here, and to do that you need to go deep! So you'll explore the depths of multivariate A/B testing with Google's "Homepage Experiment" to evaluate and predict outcomes using advanced Python analysis.

2. ECONOMETRICS AND CAUSAL INFERENCE

This is a core tenant for any great business analyst. With econometrics and causal inference, you’ll learn to measure the actual impact of business initiatives.

Using cutting edge business analysis tools like Google Causal Impact and methods like matching, this part provides a robust framework for understanding and executing causal analysis with real-world applications in cryptocurrency markets and educational program evaluations.

Here's a more detailed breakdown of what you'll learn about Econometrics and Causal Inference:

• Google Causal Impact

You'll also dive deep on using Google Causal Impact by analyzing Bitcoin market data as a case study to understand the difference-in-differences framework and time series data analysis.

• Matching

You'll discover the power of matching in econometrics with real-world applications. Learn from practical Python examples and a case study on the impact of educational programs.

3. DATA VISUALIZATION WITH PYTHON

You'll learn to transform raw data into compelling stories using data visualization. Starting with the essentials of visual representation through various chart types, you'll then move on to enhancing your analytical narratives. This part takes you through the creation of intuitive and insightful plots, with case studies including the analysis of Pokémon data sets and global happiness metrics.

• Distribution Charts and Plotting Basics

Learn the fundamentals of data storytelling with distribution charts, histograms, box plots, and violin plot designs by having fun and using Pokémon data for practical insights.

• Ranking Charts

You'll learn to visualize competitive analysis with ranking charts. The World Happiness Report serves as a case study to create impactful bar and lollipop charts.

4. SEGMENTATION

Segmentation teaches you the art of identifying distinct groups within your data to tailor marketing efforts effectively. Utilizing RFM and Gaussian Mixture models, you'll practice segmenting with Python, analyzing consumer behavior, and studying market stratification to drive targeted business decisions.

Here's a more detailed breakdown of what you'll learn about Segmentation:

• RFM

You'll learn to segment your customer base effectively using RFM analysis, and apply Python to sales data to uncover actionable marketing strategies.

• Gaussian Mixture

You'll take your segmentation skills to the next level with Gaussian Mixture models by exploring market segmentation for strategic business decisions. And as usual, you'll solidify your new skills with case studies and Python exercises!

5. PREDICTIVE ANALYTICS

Predictive analytics unlocks the potential of forecasting and trend analysis. That means you’ll be able to predict the future...sort of. In reality you'll be able to better predict future trends, but that's almost the same thing right?

Here's a more detailed breakdown of what you'll learn about Predictive Analytics:

• Random Forest

Understand ensemble learning through Random Forests and tackle prediction problems with a hands-on approach, learning from case studies in various industries.

• Prophet

Forecast the future with Facebook's Prophet and dive into time series data from companies like Uber to anticipate market trends and plan effectively.

6. ADVANCED BUSINESS ANALYTICS

We're all about going from zero to real mastery here, so that means diving straight into the advanced end of the pool too. With advanced analytics you'll be taken deeper into your business analytics journey. You'll learn to conduct and infer complex tests, combining Python's analytical capabilities with case studies from Google and Coca-Cola, to optimize and innovate in product development and marketing strategies.

What's the bottom line?

This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial... No!

This course will push you and challenge you to go from an absolute beginner to someone that is in the top 10% of Business Data Analysts 💪.

How do we know?

Because thousands of Zero To Mastery graduates have gotten hired and are now working at companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, Shopify + other top tech companies.

They come from all different backgrounds, ages, and experiences. Many even started as complete beginners.

So there's no reason it can't be you too.

And you have nothing to lose. Because you can start learning right now and if this course isn't everything you expected, we'll refund you 100% within 30 days. No hassles and no questions asked.