Register for a professional training on Data Analysis using R-Programming

Introduction

In today's digital age, data has become a valuable asset. Organizations in a variety of industries recognize the importance of data-driven decision-making and are looking for people with the abilities to harness its potential. However, many professionals lack the essential training and ability to analyze and understand huge datasets utilizing cutting-edge technologies. As a result, the ability to derive meaningful insights from complicated datasets has become an essential skill. Whether you're a seasoned professional or a new data enthusiast, mastering data analysis techniques can transform your approach to problem solving and decision-making.

DATA+ Rwanda, A research, technology and professional training company, is glad to launch a 6-day (weekend) intensive data analysis training session using R programming. This intensive training is intended to provide African professionals from various backgrounds with the practical skills required to leverage the potential of data.

This program will empower participants to:

• Enhance Decision-Making:Leverage data to make informed decisions that drive business growth and innovation.
• Improve Problem-Solving Skills:Apply data analysis techniques to tackle complex challenges and identify opportunities.
• Foster Innovation:Explore new avenues for innovation by uncovering hidden patterns and trends in data.
• Advance Career Prospects:Gain in-demand skills that are highly sought after by employers in the data science industry.

Why R?

R has emerged as one of the most popular programming languages for data analysis and statistical computing. Its open-source nature, extensive libraries, and powerful data manipulation capabilities make it an indispensable tool for data scientists, researchers, and analysts worldwide.

Training Objectives

By the end of this training, participants will be able to:

• Master, mathematical, statistical and R Programming Fundamentals:Gain a solid foundation on basics on statistics and move on to understanding of R syntax, data structures, and control flow.
• Efficiently Manipulate and Clean Data:Learn techniques to import, clean, and transform data into a suitable format for analysis.
• Create Visually Appealing Data Visualizations:Use R's powerful visualization libraries to create informative and engaging charts and plots.
• Conduct Statistical Analysis:Apply statistical methods to explore data, test hypotheses, and draw meaningful conclusions.
• Build Predictive Models:Develop machine learning models to forecast future trends and make data-driven decisions.
• Communicate Data Insights Effectively:Present data findings in a clear and compelling manner, tailored to different audiences.

Target Audience

• Professionals:Professionals who want to enhance their data analysis skills. Participants from diverse fields (e.g., statistics, mathematics, economics, Agriculture, computer science, business and other social sciences) interested in data science.

Training Methodology

The training will be highly practical and hands-on, with a strong emphasis on real-world applications. The following methodologies will be employed:

• Lectures:Concise theoretical explanations to provide foundational knowledge.
• Hands-on Exercises:Practical assignments to reinforce learning and develop problem-solving skills.
• Group Projects:Collaborative projects to apply learned concepts to real-world datasets.
• Mentorship:One-on-one guidance from experienced facilitator and cofacilitators as well as peers.

Trainer Profile

The lead trainer will be a Senior data scientist and team leader from the Rwanda National Institute of Statistics in the data revolution and big data department. The trainer possesses a masters degree in global information technology and policy. He has extensive experience of 16 years in data analysis, statistical modeling, and machine learning. He also has a proven track record of delivering effective training programs to diverse audiences.

Training Schedule

• Duration:6 days (Weekend program)
• Dates:1st December 2024 - 14th December 2024
• Time:09:00 AM - 17:00 PM

Venue

UNIPOD, University of Rwanda CST Nyarugenge Campus

Fees

• Masters and Professionals:40,000 RWF (registration fee)
• Payment mode:Equity Bank: 4002200779105
• DATA+ Consultant ltd.MOMO pay code *182*8*1*92570, 

Deadline for registration: 28^thNovember 2024

Certification

Participants who successfully complete the training and the capstone project with pass mark of 65% will receive a certificate of successful completion.

Registration

To register, please fill out the online registration link :https://forms.gle/qSXdBNk4of4aX8Ej6

Contact Information

Email: dataplus.21@gmail.com or karara.benon@gmail.com 

Phone: +250784857317

Location: 3^rd floor Ubumwe House KG 5 Kimihurura Ave,

Kigali Rwanda.

KARARA Benon

CEO-DATA+ Rwanda