Business Analytics Bootcamp (with Python): Zero to Mastery

What is business data analytics? Why should you consider learning analytics? What roles does a business data analyst fulfill?

Great question!

We inhabit a world powered by data, with businesses globally striving to leverage data for optimal decision-making.

That's where Business Data Analysts (that's you in the future!) come in.

Being a Business Analyst resembles being a detective.

You’ll utilize tools (such as Python, Facebook Prophet, Google Causal Impact) to sift through and interpret data to grasp historical trends and foresee future possibilities. From those insights, you'll identify the most effective strategies to pursue.

Companies seek these Analysts because they excel in transforming data into revenue.

By employing the tools and methodologies (that we’ll teach you in this course), you’ll swiftly analyze data and convert it into practical information and strategic insights essential for critical business decisions.

Making the correct choice can differentiate between gaining or losing millions.

This high demand for data analysis expertise means firms are ready to offer attractive salaries to attract skilled individuals.

This business data analytics course emphasizes efficient learning using the latest industry practices, ensuring you won't waste time on outdated, incomplete tutorials.

Hands-on learning is key, featuring practical exercises and exciting challenges utilizing real-world data. This approach will enhance your skills, elevate your knowledge beyond the basics, and give you the confidence to tackle any project you encounter.

Plus, you're not alone in this journey.

By joining today, you’ll gain access to our exclusive live online community classroom to collaborate with thousands of students, alumni, and mentors.

Most importantly, you’ll be guided by an industry expert (Diogo) who brings real-world experience as a Business Data Analyst, sharing the precise tools and techniques he employs daily.

This course will be continuously updated to reflect the evolving landscape.

Like the ever-changing business data analytics and intelligence sectors, we pledge to keep this course fresh with new lessons and resources, ensuring you remain at the forefront of your profession.

Consider this course your essential resource for the latest analytics best practices in the future.

Here’s what you’ll cover in this course:

The curriculum is designed to be very hands-on, but we will walk you through every step, ensuring that even those with limited knowledge in statistics and Python will thrive.

We start from scratch by covering the fundamental concepts of data analytics.

But we won’t stop there.

We'll advance into complex topics enabling you to make sound, analytical decisions and recognize the right tools for any task.

1. A/B TESTING AND EXPERIMENTATION

You'll delve into decision-making principles with A/B Testing and Experimentation. From hypothesis formulation to mastering A/B testing techniques, you’ll apply statistical methods and Python to validate business strategies, drawing lessons from notable industry case studies like Google's design tweaks and Obama's campaign optimizations.

Here’s more of what you’ll learn about A/B Testing:

• Introduction to A/B Testing

You'll explore a fundamental aspect of business analytics: A/B testing. We’ll keep it engaging and enjoyable by using mobile gaming as a focus, covering test setup and result analysis using Python while learning key terminology and concepts.

• Hypothesis Testing for A/B Testing

Building on your foundation, you’ll strengthen your skills through Python exercises and case studies like Google's "41 Shades of Blue" to grasp confidence levels and p-values.

• Mastering A/B Testing

Finally, you'll dive into A/B testing with the Amazon "Buy Button" case study. Engage with advanced techniques such as Bayesian A/B testing and sequential testing for deeper insights.

• Multivariate A/B Testing

Just when you thought we were done... we’ll ascend to true mastery! You'll explore the depths of multivariate A/B testing through Google's "Homepage Experiment" case study, employing advanced Python analysis to evaluate and predict outcomes.

2. ECONOMETRICS AND CAUSAL INFERENCE

This is essential for any top-notch business analyst. With econometrics and causal inference, you’ll learn to gauge the real effects of various business initiatives.

Leveraging cutting-edge tools like Google Causal Impact and methodologies such as matching, this module equips you with robust frameworks for performing causal analyses with practical applications in cryptocurrency markets and educational program assessments.

Here’s a closer look at what you’ll learn about Econometrics and Causal Inference:

• Google Causal Impact

You’ll explore using Google Causal Impact by analyzing Bitcoin market data as a case study to comprehend the difference-in-differences framework and time series data analysis.

• Matching

You’ll experience the power of matching in econometrics through real-world applications, bolstered by practical Python examples and a case study on educational program impacts.

3. DATA VISUALIZATION WITH PYTHON

You’ll master the art of turning raw data into engaging stories through data visualization. Starting with the fundamentals of visual representation across different chart types, you’ll later enhance your analytical narratives. This section guides you in creating intuitive and informative plots, using case studies involving Pokémon datasets and global happiness metrics.

• Distribution Charts and Plotting Basics

Learn data storytelling fundamentals with distribution charts, histograms, box plots, and violin plots through enjoyable Pokémon data applications for practical insights.

• Ranking Charts

You’ll visualize competitive analysis using ranking charts, with the World Happiness Report acting as a case study for impactful bar and lollipop chart creation.

4. SEGMENTATION

Segmentation teaches you the art of identifying distinct groups within data to target marketing efforts effectively. Utilizing RFM and Gaussian Mixture models, you'll practice segmentation with Python, analyzing consumer habits, and investigating market stratification to promote data-driven business decisions.

Here’s a more detailed look at what you’ll learn about Segmentation:

• RFM

You'll adeptly segment your customer base through RFM analysis while applying Python to sales data for actionable marketing strategies.

• Gaussian Mixture

You’ll elevate your segmentation skills with Gaussian Mixture models, exploring market segmentation strategies to inform business decisions. And as always, you'll solidify your skills through case studies and Python exercises!

5. PREDICTIVE ANALYTICS

Predictive analytics unveils the power of trend forecasting and analysis. This means you'll be able to predict the future... to an extent. Essentially, you'll enhance your capacity to anticipate future trends, which is almost the same thing, right?

Here’s a breakdown of what you’ll learn about Predictive Analytics:

• Random Forest

Grasp ensemble learning through Random Forests, tackling prediction challenges with a hands-on approach informed by case studies across various sectors.

• Prophet

Forecast future trends using Facebook's Prophet and delve into time series data from companies such as Uber to anticipate market shifts and plan accordingly.

6. ADVANCED BUSINESS ANALYTICS

We’re committed to progressing from zero to true mastery, diving straight into advanced topics as well. With advanced analytics, you’ll further deepen your business analytics journey. You’ll learn to conduct and interpret complex tests, fusing Python's analytical tools with case studies from giants like Google and Coca-Cola, optimizing product development and marketing strategies.

So, what’s the verdict?

This course is not just about making you code without truly grasping the concepts, leaving you unsure of what to do beyond completing the course. No way!

This course will challenge and elevate you from a beginner to a top 10% Business Data Analyst 💪.

How do we know?

Thousands of Zero To Mastery graduates are now employed at prestigious companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, Shopify, and many others.

Our graduates come from various backgrounds, ages, and experiences, with many starting from scratch.

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

And you’ve got nothing to lose! Start learning today, and if the course doesn’t meet your expectations, we offer a 100% refund within 30 days, no questions asked.