ADS&MLApplied Data Science & Machine Learning
Rating:
English
Intermediate
No available sessions at this moment.
Get in touch with our Training Advisior to find out about the next available sessions.
Download Brochure
Course Overview
Applied Data Science & Machine Learning is a five-day advanced program designed to enhance data science skills. The course covers advanced data wrangling, linear regression, machine learning algorithms, and includes a capstone project. Participants will learn sophisticated data wrangling techniques using dplyr and tidyr in R, handling missing data and performing complex transformations. The course delves into linear regression, covering multiple regression analysis, model evaluation, and diagnostics, with hands-on exercises for practical application. Machine learning is a key focus, exploring supervised and unsupervised techniques, model training, evaluation, and tuning using the caret package in R. The program culminates with a capstone project, allowing participants to integrate and apply their skills in a comprehensive data science project, from data acquisition to model evaluation. By the end of this course, participants will master advanced data science techniques and machine learning, ready to tackle complex challenges and drive data-driven decisions.
Key Takeaways
1
Develop advanced data wrangling skills using dplyr and tidyr in R, preparing complex data sets for analysis by addressing missing data and outliers.
2
Construct and interpret multiple linear regression models to analyze variable relationships and derive actionable insights.
3
Evaluate machine learning models using supervised and unsupervised techniques, assessing their effectiveness and accuracy.
4
Implement model training, evaluation, and tuning using the caret package in R, optimizing performance through hyperparameter tuning.
5
Synthesize learned concepts in a capstone project, integrating data acquisition, cleaning, analysis, and model evaluation to create a comprehensive data science solution.
Harvard University
This program is from Harvard’s Office of the Vice Provost for Advances in Learning (VPAL), in association with HarvardX. It is offered in collaboration with GetSmarter, an edX partner.Gain a holistic perspective on cybersecurity risk and mitigation, and get recognised for your knowledge with a premier certificate from Harvard’s VPAL.
Course Outline
DAY 1 Datas Wrangling
→ Module 1: Introduction to Data Cleaning
and Wrangling
→ Module 2: Handling Missing Data and
Outliers
→ Module 3: Data Transformation Techniques
→ Module 4: Using dplyr for Data
Manipulation
→ Module 5: Using tidyr for Data Wrangling
→ Module 6: Practical Session: Data
Wrangling Exercises
→ Module 7: Q&A and Wrap-Up
DAY 2 Linear Regression
→ Module 1: Concepts of Linear Regression
→ Module 2: Simple Linear Regression Analysis
→ Module 3: Multiple Regression Analysis
→ Module 4: Model Evaluation and Diagnostics
→ Module 5: Practical Session: Linear
Regression in R
→ Module 6: Case Study: Real-World
Regression Problems
→ Module 7: Q&A and Wrap-Up
DAY 3 Machine Learning
→ Module 1: Introduction to Machine
Learning
→ Module 2: Supervised Learning Techniques
→ Module 3: Unsupervised Learning
Techniques
→ Module 4: Using caret Package for Model
Training
→ Module 5: Model Evaluation and Tuning
→ Module 6: Practical Session: Machine
Learning in R
→ Module 7: Q&A and Wrap-Up
DAY 4 Capstone Project Preparation
→ Module 1: Introduction to the Capstone Project
→ Module 2: Project Planning and Data Acquisition
→ Module 3: Data Cleaning and Preparation
→ Module 4: Exploratory Data Analysis
→ Module 5: Model Building and Evaluation
→ Module 6: Visualization and Presentation of
Results
→ Module 7: Q&A and Wrap-Up.
DAY 5 Capstone Project Presentation
→ Module 1: Finalizing the Capstone Project
→ Module 2: Project Presentation Guidelines
→ Module 3: Group Work: Final Touches on
Projects
→ Module 4: Project Presentations
→ Module 5: Feedback and Discussion
→ Module 6: Program Summary and Next
Steps
→ Module 7: Certification Ceremony and
Closing Remarks
Who Should Attend?
This highly practical and interactive course has been specifically designed for
→ Business and Data Analysts: Professionals
who need to analyze and report on data to
inform business decisions.
→ Project Managers: Those who manage
projects and require data to plan and
report progress.
→ Finance Professionals: Analysts and
managers who need to handle complex
financial data and forecasts.
→ IT Professionals: Those who support data
systems and need to understand data flows
and reporting.
→ Operations Managers: Managers needing to
optimize operations through data analysis.
Related Courses
FAQ
Are LEORON Public courses certified by an official body/organization?
LEORON Institute partners with 20+ international bodies and associations. We also award continuing professional development credits (CPE/PDUs) for:1. NASBA (National Association of State Boards of Accountancy) 2. Project Management Institute PDUs 3. CISI credits 4. GARP credits 5. HRCI recertification credits 6. SHRM recertification credits
Does LEORON give discounts?
Yes, we can provide discounts for group bookings. If you would like to discuss a discount on a corporate level, we will be happy to talk to you.
What language will the course be taught in and what level of English do I need to take part in an LEORON training program?
Most of our public courses are delivered in English language. You need to be proficient in English to be able to fully participate in the workshop and network with other delegates. For in-house courses we have the capability to train in Arabic, Dutch, German and Portuguese.
What is the deadline for registering to a public course?
The deadline to register for a public course is 14 days before the course starts. Kindly note that occasionally we do accept late registrations as well, but this needs to be confirmed with the project manager of the training program or with our registration desk that can be reached at +1071 4 1075 5711 or [email protected].
What does the course fee cover?
The course fee covers a premium training experience in a 5-star hotel, learning materials, lunches & refreshments, and for some courses, the certification fee and membership with the accrediting bodies.
Reviews
- Review:Certified Professional in Quality and Patient SafetyDating back to 2014, Mobily’s “LEORON” experience has grown from a single collaboration to a long-term partnership. We consider “LEORON” Institute as a strategic partner, whose contribution has been nothing but premium in equipping our staff with field-based knowledge and information. Past three years have resulted with an expanded collaboration with superior customer service and support. Best Regards,Turki S. Alsahaan
- Review:Certified Professional in Quality and Patient SafetySince the partnership was signed between BAE Systems Saudi Development & Training and LEORON in 2017, we have been working together to offer the Saudi market a complete portfolio of training solutions benefiting from the wide and extensive experience of both parties. Recognizing the great success of this partnership, we are looking for further collaborations in the future that will position both companies as one of the leading training providers in Saudi Arabia. We thank the LEORON team for their full cooperation and continuing support, and look forward to further success together in the years to come.Emad Alrajih
- Review:Certified Professional in Quality and Patient SafetyWe have been working with LEORON for the past two years and will be working with them again this upcoming year. The programs they delivered were fruitful and exciting and our organization has received positive feedback from the participants. What our organization aims to do is to provide at no cost training for all the private sector employees so that they may benefit from our offered programs in Innovation and Professional development. Leoron has helped us achieve this goal. We look forward to continuing this service and wish them the best of luck. Regards,Nasser M. Al-Subaie
- Review:IAMM Internal Audit Maturity ModelIn recognition of their dedication and contribution supporting IKEA Saudi Arabia in arranging training programs during 2017 & 2018, looking forward for more development and exciting effort this year. On behalf of IKEA Saudi Arabia, THANK YOU!Dalal Kutbi
