Hi, We are your Data Analysts

We are your data analytical guide from statistical tuning of your research idea to that Eureka result interpretation moment while unearthing the expert in you!

Get Started Join R Courses

Who We Are

Our Love For Academic Data Analysis and Mentoring Less Reached Groups

During our more than 15 years of supervising numerous graduate student projects and reviewing for academic journals, I have noted a concerning trend where in many cases, graduate students (Master and PhD researchers) set forth into their projects with scanty knowledge and guidance concerning statistical aspects of experimental / research design, data analysis and interpretation......

Read More

Our Services

Get World Class Quality Research Design, Analysis And Training For Your Academic Report

Analysis and Training

Our social responsibility drives our training objective to enhance access to world-class data analysis skills and open access tools to the less reached groups.

Read More

Research Design And Analysis

A team of analysts brings to you more than 15 years in teaching, academic supervision and research work together to ensure world-class data analysis for small reports to large academic projects.

Read More

Big Data Analytics

Technology use in every sector is increasingly generating huge amounts of information that can yield valuable insights. Such data needs to be supplemented with its analysis for obtaining decision-making insights.

Read More

Happy Clients

Online Training Sessions Completed

Trained Participants

Features

Online Academic Data Analysis Bootcamp Using Open-Access Program R

Analysis Tool for big data

Robust Visualization Library

Free & Open source Tool

Gateway to Lucrative Career

Popular For Academic Research

Easy To Learn

F.A.Q

Frequently Asked Questions

No, R is a great language for programming beginners to learn, and you don't need any prior experience with code to pick it up.

The foreign package contains functions that will allow you to import data files from some of the most commonly used statistical software packages such as SAS, Stata and SPSS. To download the foreign package from the CRAN website from within R, click on “Packages” and then “Install package(s) from CRAN”. You will then need to load the package, and you can use the help function.

Among many user-written packages, package pastecs has an easy to use function called stat.desc to display a table of descriptive statistics for a list of variables. You can download the package and then load it into memory as shown below, assuming that your computer is connected to the internet.

Like other statistical software packages, R is capable of handling missing values. However, to those accustomed to working with missing values in other packages, the way in which R handles missing values may require a shift in thinking. On this page, we will present first the basics of how missing values are represented in R. Next, for those coming from SAS, SPSS, and/or Stata, we will outline some of the differences between missing values in R and missing values elsewhere. Finally, we will introduce some of the tools for working with missing values in R, both in data management and analysis.

When there are multiple measurements of the same subject, across time or using different tools, the data is often described as being in "wide" format if there is one observation row per subject with each measurement present as a different variable and "long" format if there is one observation row per measurement (thus, multiple rows per subject). Different functions require different formats, and so the need to reshape a dataset may arise.

This data management step can also be done in R using the summaryBy() command in the "doBy" package. At the end we included one example using function collap() from new package "collapse". Let’s consider the dataset hsb2. We can start by collapsing the data by prog and calculating the mean of socst. The default summary calculation is the mean, as indicated by the output.

Testimonials

What they are saying about us

Thank you for breaking down the basic R topics. I am glad I was part of the course- very useful. Very interesting you are now flattening the steep learning curve

Esther Nyambura

As we come to a close to this exciting program, a few things have been resonating with me.

Personally, gaining skills in R programming has just been an addition to the few but critical lessons I have learned from you and your colleagues. Allow me to share these here.

Bethsheba Muchiri

ANAFE, Program Manager Environmental Science

“I feared models and codes in R because someone told me it is very difficult; I am happy you have made it look doable with patience and practice.”

Margaret Owuor (PhD),

South Eastern Kenya University Ecologist, Ecosystems and Biodiversity Conservation

Thanks a lot. I have learnt a lot, the team work from my team was amazing and they were so patient with us. Patrick, James.. group 2..Peninah..God bless"

Virginia

“Thanks so much daktari! Can't even believe we're already in our final week!! It's been an amazing learning experience! Great tutors! Great team leaders! Great classmates wow! Thanks loads!! God bless!”

Harriet Egessa

Busia county- Sub county Land Dvt & environment officer

1. I have learned the beauty of making leaders by investing in others who may not even pay back the worth of your investment.

2. I have learned what it means to sacrificially give. You all have your day jobs and you still find time to grow all the participants in this course. Most importantly, you do this gladly without any restraints.

Bethsheba Muchiri

ANAFE, Program Manager Environmental Science

Thanks a lot,,, will forever remember your quote, 'nobody has monopoly of knowledge and in life we keep learning new things' I did not know what to expect but the deal of online evening class of 2 hours a week, at a very minimal fee was very lucrative. When the course begun, it was exciting to meet many people interested in the learning. The tutors taught in a very interesting incorporating practicals and group work.

Ferdinand Makhanu

PhD, Masinde Muliro University of Science and Technology

I did not know what to expect but the deal of online evening class of 2 hours a week, at a very minimal fee was very lucrative. When the course begun, it was exciting to meet many people interested in the learning. The tutors taught in a very interesting incorporating practicals and group work.

Dr. Faith Milkah Wakonyo Muniale

Tropical Biology Association

Team

Our Hard Working Associates

Dr. P Njage

Genomic Epidemiologist - Technical University of Denmark

Dr. Njage is a Statistician working as a Genomic Epidemiologist at the Technical University of Denmark. His passion and ability to teach both common and advanced statistical topics with great simplicity in open access language R stems from his background in two worlds. He has a background training in both natural sciences (BSc, MSc, PhD (Microbiology and Biotechnology) as well as Statistics (Master of Statistics, University of Hasselt, Belgium). He is experienced in the analysis of complex, unstructured data..

Dasel Wambua Mulwa Kaindi (PhD)

Lecturer - Department of Food Science, Nutrition and Technology, University of Nairobi.

Dasel does research in Nutrition and Dietetics, Food Science and Food Biotechnology. His main focus is microbiota of fermented food products and dietary intake studies.Proficient in SPSS, STATA, R, and Python for statistical analysis

Dr. Collins K Tanui(PhD)

Research Associate - Department of Nutrition and Food Science & the Center for Food Safety and Security Systems (CFS3) at the University of Maryland, College Park, USA.

His research interests include predictive microbiology, quantitative microbial risk assessment, food safety, host-microbe interactions, and molecular biology

Lynda Wainaina

Astute trainer and consultant -Advanced Excel Modelling and R program

She has a particular focus on machine learning models, data analysis and visualization using programming tools such as Python, R and Matlab.

Dr. Peter Kimeli (PhD)

Veterinary Epidemiology - University of Prince Edward Island (Canada),

His interests are on observational and experimental studies that investigate complex epidemiological questions. He has strong analytical skills and proficiency in using STATA, MLwIN, R and HOBOware and moderate knowledge in using QGIS, Python and GeoDa

James Orwa, Ph.D.

PhD Candidate; MSc, Hasselt university, Belgium; Bsc, Applied statistics, Maseno University

Currently a Biostatistician/ Instructor at Aga-Khan University, Kenya

Dr. Faith Milkah Wakonyo Muniale

Tropical Biology Association

She is an environmental scientist who has been doing interdisciplinary research in various sectors including agriculture, water, natural resources, livelihoods and climate adaptation. This involves research in the laboratory, social surveys and field experiments.

-->

Gallery




Contact

Contact Us

Chat with Us

+254 720 460 727


Call Us

+254 720 460 727

+254 784 006 178

Email Us

info@academicdataanalysts.org

Open Hours

Monday - Friday
8:00AM - 05:00PM

Loading
Your message has been sent. Thank you!