Applications are open for Johns Hopkins University Free Online Course on Data Science in Real Life. Have you ever encountered the ideal situation in data science? Everything about the data grab went smoothly. No data was missing or there were merging mistakes. The hypotheses were well-defined before being analyzed. To determine the therapy of interest, randomization was used. The analytic plan was outlined before to analysis and followed exactly. The conclusions made sense, and it was evident what needed to be done. Have you ever experienced that? Naturally, no. Real-world data analysis is messy. When a team is faced with actual data analyses, how is it managed? They compare and contrast the ideal and actual events in this one-week session. You will pick up important ideas that will enable you to handle analyses in the actual world by contrasting the ideal.

Brief Details:

• Offered by: Johns Hopkins University
• Deadline: Ongoing
• Duration: 7 hours (approximately)
• Instructors: Jeff Leek, PhD, Roger D. Peng, PhD, and Brian Caffo, PhD
• Language of instruction: English (22 more languages are also available)
• Type: Online Course
• Gender: Any
• Eligible Countries: International

Mudules:

There is 1 module in this course:

• Introduction: The Perfect Data Science Experience

Benefits:

You will learn:

• Determine the advantages and disadvantages of experimental designs.
• Discover cutting-edge methods for handling data pulls.
• Identify typical mistakes when presenting data analysis.
• Learn about the normal day-to-day activities of a data analysis manager.

Upon finishing this course, you will be able how to…

• What would be the “ideal” experience in data science?
• Evaluate the advantages and disadvantages of experimental designs
• Identify potential hazards when gathering and extracting data and discover ways to handle data extractions.
• Question the assumptions of statistical modeling and encourage data analysts to provide input.
• Identify typical mistakes when presenting data analysis.
• Get an insight into a data analysis manager’s typical workday.

Skills You will gain:

• Statistics
• Data Science
• Data Analysis
• Data Management
• Getting credible and certifications

Note: The cost of the Certificate is your responsibility, but the financial aid is available.

Eligibility Criteria:

• It is necessary for candidates to have internet access.
• Applicants must be really motivated to learn about the Data Science in Real Life.
• A free online course on Introduction to the Data Science in Real Life is available to everyone, everywhere in the globe.
• Citizens of all countries are welcome to enroll; there are no restrictions.

You will be enrolled in this Specialization as well as this course upon enrollment.

• Discover novel ideas from professionals in the field.
• Acquire a fundamental comprehension of a topic or instrument
• Gain practical project experience to enhance employability.
• Obtain a career certificate that may be shared.

How to Apply?

• To register for the free online course in Data Science in Real Life, click the Apply Now link below.
• Get a free certificate by submitting an application for financial aid ahead of time for the course.
• Select “enroll for free” and sign in with your Gmail credentials.
• You can also apply for financial aid provided you have the required information.
• After receiving financial aid, you will be granted free access to the course and a shareable certificate.

                   Apply Now

Alos Check:

• Introduction to Neurohacking in R
• Principles of Management courses
• Web Applications with Angular JS courses
• Managing Data Analysis courses
• Developing Data Products courses
• Introduction to the Biology of Cancer
• R Programming courses
• HTML, CSS, and Javascript courses
• Data Scientist’s Toolbox Courses
• Business Analytics with Excel courses

For more information, kindly visit the Coursera’s website.

Share with your friends