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
Compared to the past years, data science jobs are in extreme growth right now. According to stats, data science jobs are expected to grow three times compared to other jobs in the future. So, this is the right time for students to study and gain knowledge about applied data science. The Professional Certificate in Applied Data Science course is the best course for students who want to be equipped with enough skills to make it big and get new opportunities in the field of data science.
This course is taught by professionals who are experts in the field which allows the students to get exposed to the subject and dive deep into it. The teaching faculty is from Thayer School of Engineering which is known to have a great reputation. This course explores key concepts, techniques, and applications of data science right from the basics to the advanced level. Also, it discusses the on-field problems, market, and how everything runs in the field of Data Science and Analytics. Students will also get to learn Python programming and get hands-on application-based assignments to strengthen their abilities.
Upon the completion of the course, students will turn into professionals and acquire a deep understanding of the subject and will be provided with a professional certification in applied data science.
The Highlights
- Powered by Emeritus
- Faculty from Thayer School of Engineering
- One-to-one career coaching
- 6 months duration
- Efforts of 10-15 hours required per week
- Ivy League education
- Individual feedback sessions
- Flexible payment options
- Discount for group enrolling available
- Special referral discount available
Programme Offerings
- Online training
- Graded Assignments
- Small group mentoring sessions
- LIVE Webinars
- One-to-one coaching
- Readings
- Video transcripts
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Thayer School of Engineering, Hanover |
The fee details of this course are as follows:
- Students need to pay the total fee of 12500 USD.
- The fee is inclusive of any taxes.
- The residents of Singapore will get the exception of GST.
- Students can get 750 USD off by referring to their friends, family, or colleagues to take up this course.
- There is a group enrollment option too where students can get 20% off if they enroll along with their mates.
- This course comes with flexible payment options where students must select the option while filling out the application form.
- Kindly, send an email to group-enrollments@emeritus.org for more information.
The table for the fee details is given below:
Particulars | Amount in USD |
Course fee | $12500 |
Discounted fee | $7500 |
Eligibility Criteria
Education
Students must have an intermediate knowledge of high-school mathematics like probability and statistics, calculus, and linear algebra. It is an essential requisite for the learners of the Professional Certificate in Applied Data Science course.
Certification Qualifying Details
After successful completion of the course by fulfilling all the responsibilities and completing all the graded assignments, students will get a professional certificate in Applied Data Science from Thayer School of Engineering.
What you will learn
Data Science and Analytics is like an ocean. Students will never get enough of learning. The individuals will attain the following benefits from the Professional Certificate in Applied Data Science course -
- The fundamentals and potential of python coding for performing hypothesis tests, creating plots, determining data, and so on.
- Various applications of analytics to solve data science problems and analyze how various organizations are leveraging and capitalizing on data to get new opportunities.
- Strategies of data visualization on how to get effective data visualization and examine the effective and ineffective visualizations.
- How to apply several machine learning techniques like Classification and Regression Trees, Resampling, Random Forest, and so on.
- How to create logistic regression models by applying the problem-solving framework which helps them to examine the probabilities of the given output.
- Data structure and plotting such as how to create plots in Python, format data, data modelling, data analysis, and so on.
- Basics of statistics and probability which is used to examine various models.
- Various skills and techniques in experimental design and targeting analysis.
- How to create linear regression models for decreasing the errors and describing the data variation.
Who it is for
The Professional Certificate in Applied Data Science course is strongly recommended for those individuals such as -
- Amateurs who want to study data science and gain various skills and techniques.
- Qualified workers who want to brush up on their concepts, learn new applications and theories.
- People who want to switch their careers to data science and get new opportunities and placements in the industry.
Admission Details
The admission process for the Professional Certificate in Applied Data Science course is extremely simple. Students need not fill any form to apply for this course. There are certain steps which students should follow to apply for this course are as follows:
Step 1: Students are advised to go to the course page on the Thayer School of Engineering official website https://em.engineering.dartmouth.edu/data-science/?thank_you=true
Step 2: Click on ‘Apply Now’ in the top right corner.
Step 3: Log in to your account or sign up if you haven’t registered yet.
Step 4: Fill in all your credentials like a street address, city, work experience, nationality, and so on.
Step 5: Click on ‘Next’ and apply.
Step 6: Choose your payment method.
Step 7: Kindly, fill in your payment credentials and complete the payment transaction.
Step 8: Before accessing the course, students must take an assessment to pursue this course.
Step 9: Students who pass the assessment will get access to the course.
Step 10: Students who didn’t clear the assessment will get a refund of the deposit fee.
The Syllabus
- Before jumping into the fundamentals of data science techniques, you'll learn to code in Python over a four-week Python data coding camp
- Learn to implement Python concepts
- Evaluate how companies leverage data to find opportunities
- Use a problem-solving framework
- Create functions and 'while' loops in Python
- Work with values, tuples, and lists
- Explore Markdown in Jupyter Notebook.
- Identify structured and unstructured data
- Understand continuous and categorical data
- Explore data structures
- Determine what kind of data can be expressed in vectors vs. matrices
- Format and analyze data
- Create simple plot points in Python.
- To understand confidence intervals and p-values, gain a solid base of knowledge in statistics and probability, including means and distributions
- Use Python to create quantile-quantile plots and perform hypothesis tests.
- Understand how to build and visualize OLS regression models
- Apply the problem-solving framework to create univariate and multivariate regression models
- Create user-friendly model outputs
- Apply metrics to regression models
- Learn the transformation of variables into your model
- Fit variable interactions
- Perform the Shapiro-Wilks test to assess normality and execute transformations
- Create multivariate models with interaction variables
- Evaluate model fit and complexity
- Share results.
- Explore modeling for binary outcomes
- Apply the problem-solving framework to create logistic regression models that determine the odds and probability of a given outcome
- Clearly communicate the output of models
- Apply metrics to classification models.
- To effectively communicate to non-technical stakeholders, create interactive dashboards in Python
- Employ best practices for creating effective data visualizations
- Plot different types of data using Seaborn in Python.
- Use statistical tests to determine statistical significance while using visualization techniques to fully illustrate the differences between test and control
- Apply experimental design and targeting analysis; and perform A/B testing in Python.
- Focus on modeling techniques to solve business challenges
- Apply machine learning techniques, such as K-means clustering, classification, regression trees, and resampling through k-fold cross-validation
- Learning within the industry.
- Synthesize all of the concepts, skills, and applications you have learned
- Develop a project that demonstrates and explains various tools and techniques explored in the course
- Creating a portfolio presentation to share with prospective employers.
Evaluation process
Students need to take an assessment to pursue the course. The assessment tests their mathematical skills and calculations. There will be two attempts. Kindly, go through the sample material which includes statistics and probability, calculus, and linear algebra before giving the assessment. Click on the link on the website to download the sample assessment.
Thayer School of Engineering, Hanover Frequently Asked Questions (FAQ's)
Yes, there is a special group enrollment option where students get 20% off the total fee if they enrol with their colleagues. Kindly, email group-enrollments@emeritus.org for more information.
The minimum cutoff can be checked in your results after the completion of the assessment. Although, it varies from course to course.
Candidates must need a PC to run Anaconda which should have features like a 1 GHz processor, RAM of 1 GB, disc space of 1 GB, operating systems like Windows 7, 8, 8.1, 10, or Linux or Mac OS, and tools like command prompt and text editor.
Candidates should have a 2.60 GHz processor, 8 GB of RAM, operating systems like Mac OS, Linux, or Windows 10, and compatible tools like a text editor and command prompt.
The duration of the course is 6 months which is further divided into 10-15 hours per week.
Yes, this course offers requisites that include high-school mathematics like calculus, probability, and statistics, and linear algebra.
Students must give an assessment that will test their math abilities. There will be two attempts. It is advised that students should review the sample assessment before giving the test.
Students will be awarded a digital certificate by the Thayer School of Engineering after the completion of the course. It will be given after the two weeks of the course after finishing the grading.
No, you cannot access this course from a smartphone because it requires a PC that can run Anaconda (R and Python programming languages).
Students must dedicate 10-15 hours per week in order to complete the course on time.
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