Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
A launch by Harvard Business School Online, Data Science for Business certification is an online course for 4 weeks. With this course, candidates can leverage the time according to their own convenience, within stated deadlines. Again, this Data Science for Business training course consists of nearly 20 hours of material that is taught over 4 weeks. Data is used everywhere, and it is the prediction of tomorrow. This certification course will actually train the participants to become more capable managers who will effectively tackle Business decisions.
Moreover, the Data Science for Business online training offers a course completion certificate by just completing 6 modules and associated quiz materials. The best part is that one can even share their certificates online using a professional Linkedin platform. So, for improvement in making decisions, and Communication of these decisions to the members, this course can prove to be effective. So if candidates want to stop using bad data then they must consider this Data Science for Business online course.
The Highlights
- Programme on business data science
- 4 weeks course
- Sessions held online
- 4-5 hours weekly classes
- Introductory course
- Completion certificate by Harvard Business School Online
Programme Offerings
- 4 Weeks Course. Online Format
- completion certificate
- Faculty Videos
- Instructor-led
- Career Development
- Self-Improvement
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | HBS Boston |
The Data Science for Business certification course fee is $1,600. Harvard Business School allows payments via eCheck, credit card, Western Union, or bank loans. In some cases, candidates may receive financial help or scholarships that get adjusted with the fee once eligibility is confirmed. Again split payments based on two credit card transactions are allowed if a bare minimum fee of $350 is paid at first. In all the above cases, candidates have to pay the fee only in US Dollars for the entire registration.
Data Science for Business Fee Structure
Description | Amount |
Programme Fee | $1,600 |
Eligibility Criteria
Educational Qualification
A basic understanding of Statistics and Algebra may prove to be useful for application to this programme. Also, candidates should be aware of English as the course is taught in the mentioned language.
Age Requirement
Candidates must be more than 18 years to apply.
Certification Qualifying Details
- In order to earn the online Data Science for Business certification from Harvard Business School Online, the learners’ must participate in all the 6 modules, with their associated quizzes, within stipulated deadlines.
What you will learn
The below points mark on what exactly candidates will learn through this Data Science for Business certification syllabus:
- Barring the spreadsheets, candidates will develop a basic level understanding of the processes, tools, and models of Data Science in organisational success.
- Learners will sharpen their Decision-Making skills, and will also avoid the common mistakes made during the interpretation of data sets.
- Candidates will be able to prepare a data-driven framework both for themselves and their organizations.
- Learners will be identifying the missing components, and communicate with their data teams to make actionable recommendations.
- Candidates will be learning about important techniques that can comprehend syntax responsible for data requests.
- Learners can assess several methodologies related to Data Analytics, statistics, and data science with the help of topics, industries, and business challenges.
Who it is for
This certification programme seems fruitful for the people who aspire to become Managers, or who are already employed as leading managers, and who are already designated product managers dealing with data.
Admission Details
Here are the details of the admission procedure:
Step 1: Visit the Data Science for Business course official site: https://online-learning.harvard.edu/course/data-science-business?delta=0.
Step 2: Then click on ‘Take Course’.
Step 3: This will take the applicants to another page, where they can find the ‘Apply Now button.
Step 4: After clicking this the candidates can make themselves a proper, and fresh account to log in to Harvard Business School.
Step 5: After logging in, the candidates will need to put in the fee, and then they are allowed to take admission after a week once everything is confirmed.
Application Details
Though there is no application form, when signing up into Harvard Business School, candidates need to enter some details like their mailing address, name, age requirements to get started.
The Syllabus
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
Case Studies
Fannie Mae: Identifying Investments
Takeaways
- Relate the quality of data with 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
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
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
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
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
Instructors
HBS Boston Frequently Asked Questions (FAQ's)
No, one applying needs to be a minimum of 18 years or above to register.
In this case, the applicants will not get an extra chance to retake the course or receive any certificate.
After the course is declared over, the course can be accessed for 60 days.
No grading system is available, only a candidate will be declared as pass or fail.
Even if applicants are not data scientists, they can start this programme off if they are looking to assist Data Scientists.