Applied Statistics for Data Science
This course provides a rigorous, hands-on overview of statistical modeling for data science. You'll cover probability fundamentals and hypothesis testing, as well as advanced topics in regression. Along the way you’ll apply your skills to projects in a real-life scenario for an e-commerce company. At the end of the course, you'll be well equipped to dive deeper into an advanced career in data science.
Course taught by expert instructors
Emily Ekdahl
Machine Learning Engineer at Vouch
Emily Ekdahl is a machine learning engineer at Vouch, an InsureTech company, with previous experience working as a full stack engineer, data engineer, and machine learning engineer. In these roles she has developed a wide range data solutions across the stack including data pipelines, data models, machine learning solutions, and data visualizations to drive actionable insights for businesses. She holds a Masters in Clinical Psychology and learned to love applied statistics as a research assistant.
Musab Khawaja
Senior Data Scientist
Musab Khawaja is a versatile data scientist and machine learning engineer with a diverse background in multiple industries. As a Senior Data Scientist at Depop, he models the impact of performance marketing for the MarTech team. Additionally, Musab has held positions as a Senior Machine Learning Engineer at ARRIVAL, where he automated engineering workflows, and as a Deep Learning Engineer at MathWorks, where he developed a worldwide marketing strategy to engage with academia on deep learning in MATLAB and collaborated with researchers and students to adopt deep learning-based techniques. Musab holds a BS, MS, and PhD in Physics from Imperial College London.
The course
Learn and apply skills with real-world projects.
Data Analysts/Business Analysts looking to further their career into Data Science
Other software engineers seeking to transition into data science and statistics related roles
Foundation in basic statistics (mean, median, mode, and basic summary statistics)
Knowledge of Python programming: Variables, Functions, Lists, Loops + Numpy & Pandas (as covered in Uplimit's Python for Data Science - https://uplimit.com/course/python-for-data-science )
Try these prep courses first
- Learn
- Descriptive Statistics - Central Tendency, Variability, and Skew
- How to communicate your findings to stakeholders
Build- Build a dashboard for CostPro, a commerce company, that reports quarterly sales metrics by using the techniques we've learned for descriptive statistics.
- Learn
- Probability Distributions - Binomial, Normal, Poisson
- Working with probability distributions in Python
Build- Use probability distributions to answer questions that CostPro can use to drive business decisions.
- Learn
- Null and Alternative Hypothesis
- Selecting Metrics
- Confidence Intervals
- t-test
- ANOVA
Build- Analysis of CostPro A/B test results for experimentation with a number of features.
- Learn
- chi-squared
- Fisher’s exact tests
- Mann–Whitney U-test
Build- Analysis of effectiveness of campaign for Returned/Churned behavior amongst customers who i) email coupon ii) physical mail coupon iii) no coupon.
A course you'll actually complete. AI-powered learning that drives results.
AI-powered learning
Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.
Live courses by leading experts
Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.
Practice on the cutting edge
Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.
Flexible schedule for busy professionals
We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.
Completion certificates
Each course comes with a certificate for learners to add to their resume.
Best-in-class outcomes
15-20x engagement compared to async courses
Support & accountability
You are never alone, we provide support throughout the course.
Get reimbursed by your company
More than half of learners get their Courses and Memberships reimbursed by their company.
Hundreds of companies have dedicated L&D and education budgets that have covered the costs.
