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CCDS
Core Concepts in Data Science

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English
Intermediate
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Course Overview

The Core Concepts in Data Science is a five-day intensive program designed to build a strong foundation in data science. This course covers essential skills in R programming, data visualization, probability, statistical inference, and productivity tools. Participants will learn fundamental data science concepts and R programming basics, including data types, data frames, and essential programming constructs. Interactive exercises will help in effective data handling and manipulation using R.
The course emphasizes data visualization with ggplot2, teaching participants to create compelling visual representations and communicate data insights effectively. Key probability concepts and statistical inference techniques, such as hypothesis testing and regression analysis, are covered to help participants make data-driven decisions. Additionally, the course introduces productivity tools like version control with Git and GitHub, efficient project management with RStudio, and reproducible research using markdown. By the end of this course, participants will have a solid foundation in data science, ready for more advanced topics and projects.

Hetaf A.
Coordinator - Program Enrollment
[email protected]
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Key Takeaways

1
Understand and explain the fundamental concepts and methodologies of data science, demonstrating a thorough grasp of the subject.
2
Apply R programming techniques to handle, manipulate, and analyze diverse data sets, ensuring data integrity
3
Create detailed data visualizations using ggplot2 in R, effectively communicating complex data insights to various audiences.
4
Analyze data using probability concepts and statistical inference techniques, making informed decisions through hypothesis testing and regression analysis
5
Utilize productivity tools like Git, GitHub, and RStudio to efficiently manage data science projects, ensuring reproducibility and collaboration.

Harvard University
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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 Introduction to Data Science and R Basics
→ Module 1: Welcome and Program Overview
→ Module 2: Introduction to Data Science
→ Module 3: Understanding Data Types in R
→ Module 4: Basic R Programming Exercises
→Module 5: Data Frames and Data Manipulation in R
→ Module 6: Programming Concepts: Functions, Loops, and Conditionals
→ Module 7: Data Handling Practical Session
→ Module 8: Q&A and Wrap-Up
DAY 2 Data Visualization with R
→ Module 1: Principles of Data Visualization
→ Module 2: Introduction to ggplot2 in R
→ Module 3: Creating Basic Plots (Histograms, Scatter Plots)
→ Module 4: Advanced Plotting Techniques
→ Module 5: Customizing Plots and Themes in ggplot2
→ Module 6: Hands-on Exercise: Creating Visualizations
→ Module 7: Q&A and Wrap-Up .
DAY 3 Probability and Its Applications
→ Module 1: Fundamental Concepts in Probability
→ Module 2: Random Variables and Probability Distributions
→ Module 3: Applying Probability in Data Science
Module 4: Statistical Inference and Probability
→ Module 5: Case Study: Real-World Applications
→ Module 6: Hands-on Exercise: Probability Problems in R
→ Module 7: Q&A and Wrap-Up
DAY 4 Inference and Modeling
→ Module 1: Introduction to Statistical Inference
→ Module 2: Building Statistical Models
→ Module 3: Hypothesis Testing
→ Module 4: Regression Analysis
→ Module 5: Practical Session: Inference and Modeling in R
→ Module 6: Model Evaluation Techniques
→ Module 7: Q&A and Wrap-Up.
DAY 5 Productivity Tools for Data Science
→ Module 1: Enhancing Productivity with Tools
→ Module 2: Version Control with Git and GitHub
→ Module 3: Using RStudio for Data Science Projects
→ Module 4: Reproducible Research with Markdown
→ Module 5: Hands-on Exercise: Productivity Tools
→ Module 6: Final Project Overview and Guidelines
→ Module 7: Q&A and Program Wrap-Up

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.

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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.

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    Certified Professional in Quality and Patient Safety
    Dating 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,
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    Certified Professional in Quality and Patient Safety
    Since 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.
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    Certified Professional in Quality and Patient Safety
    We 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,
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