Nosa Analytics

Hi fam, In today's world, data is king. The ability to analyze and present data effectively is a valuable skill in many fields, including business, social sciences, and healthcare. Tableau is a software that helps data analysts transform raw data into visual representations that are easy to understand and interpret. Tableau offers a wide range of interactive and dynamic visualization options, allowing for the creation of engaging presentations and reports. Instead of relying on static charts and graphs, Tableau enables the creation of interactive dashboards, stories, and infographics that capture attention and communicate information more effectively. Course modules :             Introduction to Tableau Understanding data visualization and its importance Introduction to Tableau and its Features Installation and Setup Tableau Basics Tableau interface and navigation Connecting to data sources Creating basic charts (bar, line, pie), Formatting a...

Microsoft Excel is a powerful spreadsheet software that is widely used in various industries. This course is designed to provide beginners with a solid foundation in Excel, teaching them the essential skills and techniques needed to navigate, create, format, and analyze data effectively. Through hands-on exercises and practical examples, learners will gain confidence in using Excel to solve real-world problems, make data-driven decisions, and improve productivity.                     Here are some specific benefits of taking this course: Learn the basics of Excel, including how to create and format spreadsheets, enter and edit data, and use formulas and functions. Gain hands-on experience with Excel by working on real-world projects. Improve your productivity by learning how to automate tasks and use Excel to analyze data. Make data-driven decisions by learning how to use Excel to create...

 R-Statistics Beginner course I designed the modules for a beginner's introduction to statistics in R course. It is meant to run for four weeks. This interesting course would be held virtually via my online platforms.  Who should take this course? Undergraduates, Master and Doctoral students working on various research projects Individuals who possess a fundamental to proficient understanding of statistics and seek to utilize the R software for data analysis. Anyone interested in getting the basics of statistics biostatisticians who want to refresh their brain on basic statistics in R How to get access to this course After purchasing the course, you would be directed to a Telegram group where you would be given more information on the course. Course Module Getting started with R: installing R, R Studio, R packages, and the importance of statistics with R Exploratory data analysis 1: Measurement of central tendencies Exploratory data analysis 2 Inferential statistics 1: Introdu...

 Hello fam, Tidyverse is a collection of R packages designed to make data manipulation, visualization, and analysis easier and more intuitive. Users find the Tidyverse approach powerful and user-friendly for data analysis. This course introduces you to packages like ggplot2 (For Visualization), Dplyr (Data manipulation), and TidyR (Data cleaning and Transformation). Course module: Install R, Rstudio, R packages, introduction to Tidyverse Reading data: ReadR, Readxl Data Visualization with ggplot2  ggplot2, data manipulation in dplyr Data manipulation (continued) Working with messy data: Data cleaning and transformation with tidyR Who should take this course? Those interested in R programming.  Students and teachers that want to their toolbox.  Business data analyst and data cleaning professionals. Anyone that needs a refresher in R tidyverse Those with a statistical background Those taking my r-statics beginner course    How to gain access to the course: pu...

The Earth's biodiversity is under increasing threat due to human activities, climate change, and habitat loss. Harnessing data in conserving biodiversity is critical for maintaining ecological balance and ensuring the well-being of our planet. In this pursuit, data is a powerful tool to revolutionizing the way we conduct biodiversity research. By leveraging on data, scientists can uncover hidden patterns, predict species distributions, and advance conservation efforts. Biodiversity research generates massive amounts of data, ranging from ecological surveys and species occurrence records to remote sensing and genetic data. Machine learning algorithms excel at processing and analyzing vast datasets, enabling researchers to uncover complex patterns and relationships. By applying these algorithms to biodiversity data, scientists can extract valuable insights, detect species interactions, and unravel the intricate dynamics of ecosystems. Researchers can analyze large data at unprece...

Preparing for global opportunities is a crucial step for anyone seeking to expand their horizons and explore opportunities in technologically advanced regions. Even if you come from a part of the world that may not be at the forefront of technology, it's essential to familiarize yourself with the current trends to thrive in a global context. It's like swimming with the sharks – you need to adapt and keep up with the competitive environment. When it comes to pursuing graduate school programs, particularly in STEM fields, having a solid foundation in data analysis is highly advantageous. In fact, possessing knowledge of popular tools such as SPSS, Python, or R can significantly increase your chances of being accepted into a graduate program. Graduate research assistantship positions are known to be extremely competitive, so being well-equipped with data analysis skills can give you an edge over other applicants. For individuals in agricultural sciences and biological sciences, un...

Let me take you on a journey through my experience as a biologist and how learning data analysis, has transformed my career and outlook. It all started back in 2021, with a roommate who was always up-to-date with the latest trends. I noticed how he constantly sought to learn new things and often borrowed my laptop for his endeavors. One day, he mentioned taking courses in Python, and I couldn't help but ask why. His response, though I can't recall the exact words, intrigued me. He emphasized that Python would give me a competitive edge in the job market. That sparked my survival instinct and ignited a curiosity within me. As a biology major, I initially questioned the relevance of Python and data analysis in my field. However, driven by the desire to boost my employability and adapt to the changing landscape, I decided to explore it further. I enrolled in courses offered by IBM, earning digital certificates and gaining valuable skills along the way.  Fast forward to today, and ...