Data Analysis

INTRODUCTION

The R programming language is used for data analysis, data manipulation, graphics, statistical computing, and statistical analysis. R helps individuals and organizations to analyze data sets beyond basic Excel file analysis. On top of that R is free and open-source, no money is required to have R on your computer.

In this course, participants will learn how to use R programming to explore data from a variety of sources by building inferential models and generating charts, graphs, and other data representations.

Trainers will use visualization techniques to explore new data sets and determine the most appropriate approach. They will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches.

TRAINING OBJECTIVE

The aim of this workshop is to provide training in understanding the concepts in data science and statistical analysis using the R program.

TRAINING OUTCOME

At the end of the training participants will;

• Master the use of the R interactive environment
• Expand R by installing R packages
• Understand data analysis via EDA as a journey and a way to explore data
• Explore data at multiple levels using appropriate visualizations
• Acquire statistical knowledge for summarizing data
• Demonstrate curiosity and skepticism when performing data analysis

COURSE OUTLINE

• Getting Started with R
• Installing R and R studio
• Working with R and R Studio
• Using R Scripts
• Working directory and Work Spaces
• Data types
• R Objects
• R Variables
• R operators
• Data Management and Manipulation
• Use R for descriptive Statistics
• Use R for Data Visualization
• Use R for inferential Statistics

WHO SHOULD ATTEND THE TRAINING? 

R programming skills will benefit the following groups;

• Managers and Officers in the fields of statistics, data analysis, data scientists, machine learning engineers
• Big data engineers, IT specialists, database developers, and much more.

SOFTWARE

The R-Statistics will be provided for free

PARTICIPATION FEE

Training fee is 400,000/= (Tanzania shillings four hundred thousand only) per participant paid to “Research Experts of Tanzania” Account No. 0150396237500; CRDB Bank. This fee covers tuition fee, facilitation, training materials, Installation of R, tea break, lunch, stationeries, and certificate.

More information about the training please contact us through email: This email address is being protected from spambots. You need JavaScript enabled to view it. and Mobile +255654 660 551

PAYMENT METHODS

1. Offline payment via cash deposit via CRDB bank Pay to “RESEARCH EXPERTS OF TANZANIA” Account No. 0150396237500; CRDB at any branch-Tanzania before the commencement of the course. Use Mpesa to send money directly to our account: Fuata hatua hizi hapa
   • Fungua mpesa yako *150*00#
   • Chagua namba 6 Huduma za kifedha
   • Chagua namba 2 M-pesa kwenda Bank
   • Chagua namba 1 CRDB
   • Chagua namba 1 Weka namba ya akaunti
   • Ingiza namba ya malipo: 0150396237500 ambayo ni akaunti yetu
   • Weka kiasi cha fedha (Tizama ada zetu hapo juu)
   • Weka namba yako ya siri
   • Bonyeza 1 kukubali muamala wako
   • Tuma ujumbe wa uthibitisho wa malipo yako kwenda 0787348005 au 0767348005
2. Online payment via two methods
   1. Our PayPal account: This email address is being protected from spambots. You need JavaScript enabled to view it.
   2. Secured master or visa cards

Introduction
The course is organized for four days on Data Analysis Using IBM SPSS Statistics version 26. This a one of the research software equipped with powerful features to manage data, manipulate, process and analyze data effectively to produce good and organized analytical reports. Reports with findings presented in a smart way will help program managers, M and E officers, and Researchers to make proper decisions concerning the projects. Among the powerful features are panel data analysis, complex customized tables, cross-tabulation analysis, nested tables, one to three ways graphs

Training Objective
The goal of the workshop is to equip the participants with relevant knowledge and skills to manage and analyze projects data effectively in presenting findings in projects reports (baseline, midterm, monitoring and end-line reports)

Training Outcomes 

After completing this course, participants should be able: 

• Getting Started with IBM SPSS Statistics, create and define project data files
• To understand variable types, create variables and coding them into a data entry file
• To do data entry and mining. keying data, import data from excel, access databases, and text files, Merging cases and variables between two files
• To perform data cleaning, manipulation, and transforming
• To export final data sets to other formats (excel, text, and Stata)
• To edit and format tables, graphs and export them into Microsoft word for reporting
• To perform various descriptive and inferential statistics for reporting findings.

Training Methodology and Approach
The training will be participatory and fully practical oriented (group works and discussions) with very limited lecturing on Power-Point. Participants will be installed with the latest TRIAL version of IBM SPSS Statistics 26 to work in handover practical exercise with trainers

Workshop Organization and duration

• The training will be conducted from 08:30 to 16:00 every day
• The Training will be facilitated by a highly experienced research expert and consultant from RESEARCH EXPERTS (T) LIMITED, His CV attached here https://www.linkedin.com/in/andrewrkagwa/

Targets and Beneficiaries

• Researchers in different fields, Managers in various fields, in private and public organizations, Statisticians, Planning Officers, Monitoring and Evaluations Officers, Records Managers, Lecturers from Higher Learning Institutions, Staff from Government Ministries, Local Government Authorities, Regulatory Authorities, Agencies, and Parastatals Organizations.
• Project Managers, Project Coordinators, Postgraduate Diploma, Masters and Ph.D. students

Software Fee

• No participants will be charged any cost for purchasing IBM SPSS. A trial version will be installed on the laptops of participants.
• The fee will cover the installation of TRIAL IBM SPSS Statistics Software, facilitation fee, learning materials, lunch, healthy break, and certificates.

How to Enroll: Kindly feel the form below. If you need an invitation letter contact us via mobile number 0672944313, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Payment Methods

1. Offline payment via cash deposit via CRDB bank Pay to “RESEARCH EXPERTS OF TANZANIA” Account No. 0150396237500; CRDB at any branch-Tanzania before the commencement of the course. Use Mpesa to send money directly to our account: Fuata hatua hizi hapa
   • Fungua mpesa yako *150*00#
   • Chagua namba 6 Huduma za kifedha
   • Chagua namba 2 M-pesa kwenda Bank
   • Chagua namba 1 CRDB
   • Chagua namba 1 Weka namba ya akaunti
   • Ingiza namba ya malipo: 0150396237500 ambayo ni akaunti yetu
   • Weka kiasi cha fedha (Tizama ada zetu hapo juu)
   • Weka namba yako ya siri
   • Bonyeza 1 kukubali muamala wako
   • Tuma ujumbe wa uthibitisho wa malipo yako kwenda 0787348005 au 0767348005
2. Online payment via two methods
   1. Our PayPal account: This email address is being protected from spambots. You need JavaScript enabled to view it.
   2. Secured master or visa cards

Introduction
RET has prepared a professional Stata course on data analysis with Stata. Stata is a general-purpose statistical software package created in 1985 by StataCorp. It is used by many businesses and academic institutions around the world. Most of its users work in research, especially in the fields of economics, sociology, political science, biomedicine, and epidemiology. Stata's capabilities include data management, statistical analysis, graphics, simulations, and custom programming. Stata statistical software provides everything you need for data science and inference–data manipulation, exploration, visualization, statistics, reporting, and predictability.

Training Objective
The goal of the workshop is to equip the participants with relevant knowledge and skills to manage and analyze projects data effectively and be able to present findings smartly in project reports (baseline, midterm, monitoring, and end-line reports)

Training Outcomes
After completing this course, participants should be able:

• Getting Started with Stata 17, create and define project data files, understand new features of Stata 17 https://www.stata.com/features/
• To understand data and variable types, create variables and coding them into a data entry file
• To do data entry and mining. keying data, import data from excel, access databases, and text files, Merging cases and variables between two files
• To perform data cleaning, manipulation, and transforming
• To export final data sets to other formats (excel, text, and SPSS)
• To perform various descriptive and inferential statistics for reporting findings.
• To edit and format tables, graphs and export them into Microsoft word for reporting
• To purchase the product online

Training Methodology and Approach
The training will be participatory and fully practical oriented (group works and discussions) with very limited lecturing on PowerPoint. Participants will be installed with the latest TRIAL version of Stata 17 SE/MP to work in handover practical exercise with trainers

Workshop Organization and duration

• The training will be conducted from 08:30 to 16:00 every day
• The Training(s) will be facilitated by a highly experienced research expert and consultant from RESEARCH EXPERTS (T) LIMITED, His CV attached here https://tz.linkedin.com/in/andrewrkagwa

Targeted Applicants and Entry Qualifications

• Researchers in different fields, Managers in various field, in private and public organizations, Statisticians, Planning Officers, Monitoring and Evaluations Officers, Records Managers, Lecturers from Higher Learning Institutions, Staff from Government Ministries, Local Government Authorities, Regulatory Authorities, Agencies, and Parastatals Organizations
• Project Managers, Project Coordinators, Postgraduate Diploma, Masters and Ph.D. students
• The above applicants should have basic computer knowledge especially on Microsoft windows (folder and files management), excel and a background in statistics or mathematics will be added advantage

Training Fees

• The fee will cover the installation of the Trial version of Stata 17 MP/SE Software, facilitation fee, learning materials, refreshments and certificates, and lunch.
• If you need an invitation letter contact us via mobile number 0675 523177 or 0787 348005, email: This email address is being protected from spambots. You need JavaScript enabled to view it..

Payment Methods

1. Offline payment via cash deposit via CRDB bank Pay to “RESEARCH EXPERTS OF TANZANIA” Account No. 0150396237500; CRDB at any branch-Tanzania before the commencement of the course. Use Mpesa to send money directly to our account: Fuata hatua hizi hapa
   • Fungua mpesa yako *150*00#
   • Chagua namba 6 Huduma za kifedha
   • Chagua namba 2 M-pesa kwenda Bank
   • Chagua namba 1 CRDB
   • Chagua namba 1 Weka namba ya akaunti
   • Ingiza namba ya malipo: 0150396237500 ambayo ni akaunti yetu
   • Weka kiasi cha fedha (Tizama ada zetu hapo juu)
   • Weka namba yako ya siri
   • Bonyeza 1 kukubali muamala wako
   • Tuma ujumbe wa uthibitisho wa malipo yako kwenda 0787348005 au 0767348005
2. Online payment via two methods
   1. Our PayPal account: This email address is being protected from spambots. You need JavaScript enabled to view it.
   2. Secured master or visa cards