Keeping Up with the Quants
Take your data acumen up a notch as you begin to master algorithms and visualization techniques in practical challenges, which will also hone your all-round business skills.
Courses in this module
Core Course
Algorithms for Data Science
Algorithms are the foundations for big data analytics. Build upon the skills acquired in Applied Statistics and Business Insights to build a stronger foundation across organizing, sorting, and searching data and, most importantly, recommendation engines.
Key topics & skills
Organizing Data—Hashing, Trees & Queues
Sorting & Searching Algorithms
Large Scale Applications
Recommendation Engines
Core Course
Collaboration & Communication #2: Teamwork
This course builds on the skills developed in Communication & Collaboration 1, moving from exploring your personal impact to exploring team impact. You’ll focus on conflict resolution and negotiation and influencing organizational outcomes through team decision making.
Key topics & skills
Team Collaboration
Team Diversity
Team Problem Solving Tools
Conflict Resolution
Negotiation
Bias & Decision Making
Core Course
Data Science using R
Inform yourself on the principles and techniques of computer programming using R as well as a variety of numerical and computational problems. You’ll also learn how to program and use R for effective data analysis for large datasets. Explore real examples of practical issues in statistical computing, including programming in R.
Key topics & skills
Data Wrangling & Cleanup
Creating Interactive Dashboards with R
Visualization & Advanced Statistical Analyses
Core Course
Data Visualization & Analysis
While data is critical for making well-informed decisions, how you present and analyze data to stakeholders can make the difference between a new or improved business model and a missed opportunity. This course covers the design concepts involved in visualizing and analyzing data for decision-makers. You’ll use market-ready tools to perform ETL processes and create storytelling using data visualization tools.
Key topics & skills
Tableau—Exploratory Data Analysis Using Visualization
Perception & Cognition—Evaluate Visualization Design Alternatives
Applying Data Transformations for Visualization (Aggregation, Filtering)
Domain Specific KPIs
Connecting With Different Audiences—Dashboards & Story
Core Course
Experimental Design & Applied Statistics
Experimental design is a fundamental data-driven approach to making good business decisions. Gain an understanding of probability, inference, comparison, and regression techniques. Learn how to recognize and understand each business question, use statistical tools to conduct analysis, and communicate results clearly and concisely.
Key topics & skills
Samples, Distributions & Confidence Intervals
Hypothesis Testing & A/B Testing
Regression Analysis
Collecting, Sorting & Analyzing Datasets
Applying Statistical Analysis
Business Challenge
Business Challenge #2: Keeping up with the Quants
This business challenge will enhance your quantitative thinking. You’ll work in teams with real datasets to frame a business problem, researching supplemental data and news to support your solution. You’ll then use data wrangling and cleaning techniques to establish a hypothesis, before using modeling concepts to produce recommendations.
Key topics & skills
Problem Framing & Solving
Modeling & Communication
Applying Algorithms
Courses and challenges subject to change
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