4 Weeks
Self Study
Included
Available
Our easy online application is free, and no special documentation is required. All applicants must be at least 18 years of age, proficient in English, and committed to learning and engaging with fellow participants throughout the course. We confirm enrollment eligibility within one week of your application.
Module 1: The Data Science Shift
Case Studies
Carvana: Good Data and Bad Buys
Takeaways
Apply the steps of the Data Driven Decision Framework
Identify the benefits that data science brings to business problems
Key Exercises
Translate business problems into data hypotheses
Explore and describe datasets
Use visualizations to generate hypotheses
Module 2: Data Wrangling
Case Studies
Fannie Mae: Identifying Investments
Takeaways
Relate the quality of data with the the quality of the conclusions
Assess the quality of data
Guide decisions for merging tables and managing missing data
Key Exercises
Prepare and clean data for analysis
Examine data dictionaries
Design table joins
Identify solutions for managing missing data
Module 3: Visualization
Case Studies
StockX: Drawing Demand
Takeaways
Incorporate visualizations throughout the data science process
Interpret charts and graphs
Develop questions from visualizations
Design visualizations for clear communication with maximal impact
Key Exercises
Critique existing charts and identify methods of improvement
Generate insight with graphs
Design visualizations to express data clearly
Module 4: Time Series Forecasting
Case Studies
NICU beds: Creating Capacity
Takeaways
Connect yesterday’s data with tomorrow’s prediction
Evaluate temporal patterns in data
Match the time scale with the business problem
Select appropriate smoothing techniques for time series forecasting
Key Exercises
Determine when time series analysis is useful and informative
Select appropriate methods for exponential smoothing
Module 5: Linear Regressions
Case Studies
Bark Gift Shop: Motivating Managers
ATO Pictures: Marketing Movies
Takeaways
Interpret linear regression results
Extend intuition into analysis
Apply advanced methods to gain sophistication and insight to your understanding
Key Exercises
Identify relationships between variables
Write hypotheses
Explain the parts of a linear model, including interactions and dummy variables
Interpret linear regression results
Module 6: Logistic Regressions and Machine Learning
Case Studies
Carvana and Fannie Mae
Takeaways
Differentiate linear and logistic regression
Conceptualize Machine Learning
Evaluate model fit
Key Exercises
Complete a confusion matrix
Interpret results from logistic regression, CART, random forest, lasso, and neural networks
Select a model to guide decisions
Established in 2001 and adeptly run by the Sringeri Mutt with the benign blessings of Sri Sri Bharathitheertha Mahaswamigal, the College believes in keeping a proactive approach for the overall development of the students.
ASIET is the first self-financing technical education centre to be awarded the ISO 9001: 2008 certification. Our Alumni are prestigious and many occupy responsible positions across prestigious organizations in India and abroad. The institute is affiliated to the APJ Abdul Kalam Technological University, accredited by NBA and approved by AICTE.
Harvard Business School Online launched as HBX in 2014 to deepen the School’s impact and broaden its reach, all while staying true to the HBS mission: to educate leaders who make a difference in the world. The nuance? Now we could reach those leaders wherever they are—in the world, in their careers, and in their lives. Since, HBS Online has educated 100,000-plus learners from more than 175 countries via our innovative online platform.
