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The Harvard University’s Data Science course for business, which is fresh through HBS Online’s platform is specifically tailored for managers who want to know the “ABCs” about data science. In this course, you will be introduced to how to apply data science course for business purposes and so it will enable individuals to make decisions based on them.
This course will be conducted for 4 weeks, with an expectation that participants will commit 4-5 hours per week on average. The course has been planned twice next year – August and November. The August session fees are US$1600, whereas those of November are at a subsidized rate of US$950 before the expiry of July 31, 2024, for those who wish to pay earlier.
August session of 2024
Duration 4 weeks, 4-5 hours weekly
Fee for the Certificate: US$1600
The program will kick off on the 14th day of August 2024 and end on the 11th day of September 2024. The closing date for applications is the 5th day of August 2024.
November 2024 Session
The course will be presented for 4 weeks.
Four to Five hours per week.
The certificate is worth US$950.
This program will last from November 13, 2024, to December 11, 2024.
The closing date is November 4, 2024 for applications.
To give participants a thorough understanding of data-driven decision-making, the main goal of the Data Science course for Business is :
Data Science course for business by Harvard University teaches how to interpret, visualize, and analyze data, they have to learn how to use business analytics tools and methods successfully. The curriculum is based on practical examples provided by professionals in the academic field with high moral standards.
1. Gain a basic grasp of data science tools, processes, and models.
2. Construct a foundation that uses business analytics and data science for decision-making.
3. Spot and sidestep the general pitfalls when it comes to numbers, graphs, and figures.
4. Contextualize organizational problems using data. Develop hypotheses about them as well as what might be missing in terms of information.
5. Engage in key methods such as data curation, regression models, prediction
6. Read simple code to understand the language structure that guides information requests.
7. Evaluate appropriate methodologies concerning business statistics, data analytics, and data science.
Companies nowadays require individuals who possess data-driven skills. Management jobs that require “Data-Driven Decision Making” have been on the rise since January 2021. From March 2023 more than 1.2 million job postings have been opened to anyone with a talent in “Data-Driven Decision Making” and “Data Analysis”, but this only makes up 3% of the job seekers’ interests. This course is most beneficial for:
New technical skills and a data-driven worldview should be acquired to have a successful career for prospective managers.
Use organizational data to develop business plans that improve sales potential and reduce the probability of loss for Managers and upwardly mobile team members.
Product managers create items intended for a certain group of people, according to relevant details that can be used to know and expect market fashions.
There are six modules in this course which focus on various data science aspects pertaining to business:
1. Carvana Data Science Shift
Learn from Carvana; Good Data vs Bad Buys.
Business prediction transliteration data.
Data sets discovering and exploring.
Using visualizations to formulate hypotheses.
2. Data Wrangling: Fannie Mae
Use the Fannie Mae case to show how data quality influences conclusion quality.
Plan and clean data so it can be reviewed.
Study data glossaries
Carry out table joins.
Deal with missing data.
3. Visualization: StockX
Give criticism to the current charts and show how they can be made better by referring to StockX
There are insightful graphs
Data expression is designed visualizations
4. Forecasting NICU Beds
Combine previous data with projected future occurrences
Have a look at the nature of patterns in time
Cases in point would involve aligning time scales with real-world events
5. Linear Regressions: The instances involving Bark Gift Shop and ATO Pictures
Bark Gift Shop and ATO Pictures case studies
Determine associations between variables
Develop hypothesis
Describe the part of a linear model that involves interactions and dummy variables.
Explain linear regression outcome
6. Logistic Regressions and Machine Learning: Carvana and Fannie Mae
Look again at the Carvana and Fannie Mae cases.
Build a confusion matrix.
Explain the outcomes derived from logistic regression, CART, random forest, lasso, and neural networks.
Pick out models for making decisions.
Moreover, Harvard Online offers many discount programs to individuals, as well as different groups along with non-profit organizations learners
Accordingly, it means that Harvard Online has created multiple ways through which learners or organizations may receive reduced fees at its platforms regardless of whether they meet specific requirements.
Participants who took part before will get a 30% cut if they registered for any Harvard Online course on HBS Online.
Email address domain (.org, .gov, .mil, or .edu) verifies the learners' field of work as involved in nonprofit, governmental, military, or educational organizations with a 30% discount being offered for them.
Benefits include grouping orders into single invoices for 10 or more which gets a whole 50 percent discount for each member, and the group leader can manage the individual performance of team members through growth reports while still being able to change who studies what within those plans.
Harvard University’s Data Science course for Business is designed to equip managers and future leaders with a practical understanding of data science in the context of businesses. It does not require any prerequisites, making it suitable for aspiring decision-makers who wish to improve their decisions using relevant data.
At right about the same period when learning comes to completion, a base that is firmly grounded on certain data science methods, as well as tools, will have been built among those who are present anyway while at their disposal; this should be adequate enough for those who are in search, seeking knowledge-based decision making.
Enrollment for August and November sessions 2024 is open for alumni or non-profit, government, military, and educational sector participants with highly discounted rates for those who make payments before time.
1. What is the duration and weekly commitment for the Data Science Course for Business by Harvard University?
The course runs for 4 weeks, with an expected commitment of 4-5 hours per week.
2. What are the program dates and fees for the August 2024 session
The August session runs from August 14, 2024, to September 11, 2024. The fee for this session is US$1600, and applications close on August 5, 2024.
3. What are the program dates and fees for the November 2024 session?
The November session runs from November 13, 2024, to December 11, 2024. The fee for this session is US$950, with an early bird discount available until July 31, 2024. Applications close on November 4, 2024.
4. What are the key learning outcomes of the Data Science Course for Business?
Participants will learn data science tools, processes, and models, build frameworks for data-driven decisions, identify common mistakes in data interpretation, develop hypotheses, engage in data curation, regression models, prediction, and visualization, and assess methodologies in business statistics and data science.
5. Who can benefit from the Data Science Course for Business at Harvard University?
Aspiring managers, current managers rising leaders, and product managers can benefit from this course by gaining new technical skills, improving decision-making capabilities, and developing data-driven business plans.
6. Are there any prerequisites for enrolling in this course?
No, there are no prerequisites required to enroll in this course. It is designed to be accessible to all aspiring decision-makers.
7. What modules are included in the Data Science Course for Business?
The course includes six modules: The Data Science Shift (Carvana), Data Wrangling (Fannie Mae), Visualization (StockX), Time Series Forecasting (NICU Beds), Linear Regressions (Bark Gift Shop and ATO Pictures), and Logistic Regressions and Machine Learning (Carvana and Fannie Mae).
8. What discounts are available for the Data Science Course for Business?
Discounts include a 30% discount for past participants of Harvard Online programs, a 30% discount for nonprofit, government, military, and education sector learners, and up to a 50% discount for group enrollments of 10 or more.
9. How do I apply for discounts on the course fee?
For past participant discounts, the discount is automatically applied at payment. For nonprofit, government, military, and education discounts, eligibility is determined by the email domain, and a promo code is provided upon verification. Group discounts require contacting Harvard Online for specific arrangements.
10. What is the career impact of completing the Data Science Course for Business?
The course equips participants with in-demand data-driven decision-making skills. Since January 2021, there has been a significant rise in management jobs requiring these skills, with over 1.2 million job postings as of March 2023 seeking talent in data-driven decision-making and data analysis.
