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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

Product Development Manager

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