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

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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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    Scholarship Deadline - Round 1

    September 29, 2022

    Priority is given to those who apply by the deadline. Our enrollment team will support and guide you through the entire process.