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There has been a 6.5X increase in data science jobs since 2012.
$120,000
Average salary of a data scientist.
94%
Of data science graduates have found jobs since 2011.
RMDS Project Impactor Upskill Program - Your one-stop shop for:
securing a dream job in data science
standing out from the crowd with strong employability
navigating a successful mid-career change
RMDS Lab is a pioneer in developing data science and AI ecosystems and in offering extensive assistance for data science. We empower students, new graduates, and professionals to improve their competency and employability in data science through our Project Impactor Upskill Program, which includes:
Online course training
Career coaching
Project Impactor internship and project participation
Data science online portfolio building
Project-based mentorship
RMDS ecosystem resources
Certification and expert recommendation
Project Impactor Upskill Program for $2988
Who is This Program For?
What Can You Get From the Program?
Who Is This Program For?
- College students who want to apply for master’s degrees in data science-related fields
- New graduates who want to pursue career paths in data science-related fields
- Professionals who want to advance their careers or navigate a mid-career change
- High school students who are interested in data science and want to apply for college
What You Can Get From the Program?
- Exposure to real-world business problems
- Hands-on practice on data science projects
- Small group mentoring sessions
- Free access to online course learning
- Boost your Impact Score to increase the visibility to recruiters
- One-on-one career coaching
- Data Science professional certification
- Online data science portfolio building
- Recommendation from industry experts
- Complimentary membership to RMDS ecosystem
Every enrolled student will receive a 3-month Premium Membership to the RMDS ecosystem. As a Premium Member, you’ll have a leg up in the field of data science with the exclusive benefits of the free access to our online courses, IM Data annual conference and workflow collections, plus special discounts on deep dive training and much more.
Learn all premium membership perks at https://grmds.org/membership-pricing
Develop Portfolio worthy projects
The best way to learn data science is by working on projects. With RMDS Project Impactor Upskill Program, you’ll complete capstone projects focused on real data science scenarios that you can show to future employers. Project-based mentorship will be provided for technical guidance to help students complete the projects. Each project is 6 weeks. Most students devote 5-10 hours a week to complete a project.
Sample Projects:
A. Covid-19 Research and Risk Map Project
Partnering with the City of LA and LA County Department of Public Health, this project seeks to create an innovative solution to determine the risk of exposure to COVID-19 in locations in and around the City of Los Angeles. This hands-on experience will provide ideas and concepts to help deepen our understanding of the issues that may increase or decrease COVID-19 exposure risks, how to calculate these risks, while being respectful of data privacy.
B. Applying Machine Learning to Create a Web-based Realtime Forecasting System
Partnering with NASA JPL, this project will cover a complete workflow of data collection, feature extraction, machine learning model building, validation, prediction, and evaluation of hurricane forecast models. You will get hands-on experience in processing satellite data and organizing data for operational hurricane forecasting, with the understanding of methods for feature extraction and data dimensionality reduction and multiple machine learning techniques.
C. Predict the Impact of News Sentiment on the Stock Market
In collaboration with our partner WorldData.AI, this project seeks to create an innovative solution to analyze the effects of news sentiment and biases on daily stock performance for top companies in the oil and gas industry. News sentiments and biases have a significant impact on stock prices and consumer behavior. Students will be provided with the necessary news data, stock market data, macro data and company financial data.
D. Business Analytics Projects: Customer Behaviour Analysis, Market Segmentation, Social Media Data Analysis
RMDS Lab is dedicated to user research and analysis and data-driven decision-making. In this project, students will use company internal data to gain insights from data-driven business analytics, so as to effectively improve user retention, ROI and company effectiveness. Students will perform user cluster analysis, market segmentation, and social media data analysis based on real user data using SQL, Python, and Excel. Besides, students will complete data visualization and reporting using Tableau.
Project Expert Consulting
Alex Liu
Alex Liu
RMDS Lab Founder, Thought Leader and Former Chief Data Scientist at IBM
Sijun Wang
Sijun Wang
Professor of Marketing, Chair of Department & Director of MSBA, Loyola Marymount University
Hui Su
Hui Su
Principal Scientist, NASA Jet Propulsion Laboratory
Richard Fox
Richard Fox
Former Vice President, Head of Analytics at Qdoba Restaurants
Testimonials from Project Participants
Yen-Chen Chou
University of Southern California
Data Science Project Impacter
- Built and standardized ETL module for recommendation system focus on collaborative filtering and saved at least 50% data fetching time.
- Created a recommendation system offline evaluation feature, including parameter tuning and modeling evaluation table for different business scenarios; trained collaborative filtering models using nearest neighbor methods and SVD using the created platform.
- Led a team to build COVID-19 risk score calculator for Los Angeles County and merge results to LA County COVID-19 risk map.
- Expanded and optimized COVID-19 risk score ETL pipeline with Point of interest (POI) data, footprint data, and LA county health data; reduced 90% time on data collection process with web scraping and hashing functions.
Dayle M. Smith, Dean
LMU College of Business Administration
Data Science Project Impacter
RMDS has been a wonderful corporate partner to our M.S. in Business Analytics program. With its extensive network, sophisticated databases and numerous resources, RMDS provides our MSBA students with access to professional tools and experiences that enhance their marketable skills in the data analytics field.
Shanshan Li
University of Southern California
Data Science Project Impacter
Through the COVID-19 risk score project, I have developed strong teamwork skills and gained hands-on experience to work with data to solve real-world problems and drive meaningful outcomes. And it was a great opportunity to gain experience on tuning complex machine learning models and creating data pipeline automation. Overall, I got a better understanding of the data science project lifecycle.
Get certified from one of the leading organizations to add value to your resume.
Qualified program participants will receive a formal letter of recommendation from industry experts, improving the success rate of college and job application.
Advance your Knowledge with Project-Based Course
During and after the Project Impactor Upskill program, students have access to 15+ practical data science courses for FREE at RMDS online learning platform. This exclusive free access lasts for 3 months and can be used for up to 3 courses, as one of the perks of complimentary premium membership.
Data Science Online Presence Building
Create a strong online presence by uploading your projects and sharing your research within the RMDS project portal. It is a great way to start a data science portfolio.
By joining this Upskill Program, you can also boost your Impact Score, a RMDS exclusive feature that measures a data scientist’s practical impact in their field. We believe that a data scientist’s value begins with a tangible impact through successful implementations of end-to-end projects. Calculated using public records and platform user data, the impact score demonstrates an individual’s power or capacity to effect positive change in their field.
Build your online presence by sharing in the project portal and improving your impact score. Make your profile stand out and be easily found among the crowd!
How to enroll?
1. Submit your application
Fill out our application form to get started. There is no application fee. It takes about 2 minutes. Our admissions team will then review your application and get back to you within 72 hours.
2. Take a skill assessment
We'll send you a technical skills survey to gauge your statistics and programming knowledge before beginning the course and projects.
3. On-boarding confirmation
We will send you on-boarding materials and project introduction. Choose the start date and complete the payment to save your spot.
4. Join the program
Meet with the project mentor. Then, kickstart your data science project!
