Tendai Antony Chirasasa

Education

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  IOCO

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  Certificate Data Modeling for Qlik Sense

  Data Modeling for Qlik Sense is a technical course for one to learn to develop a coherent data model in Qlik Sense by loading and transforming multiple data sources. With information, tools, techniques, and activities, this course includes topics dealing with maintaining data connections, transforming source data, architecting data models, optimizing for performance, and application development on Qlik Sense.

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  IOCO

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  Certificate Create Visualizations with Qlik Sense

  Create Visualizations with Qlik Sense, a scenario-based course, addresses the fundamentals required to enable one for self- service visualization and discovery. The course combines demonstrations and hands-on exercises to teach the essential concepts for designing effective Qlik Sense visualizations and guided stories. We were also given some tips to maximize our analysis within our apps. Additionally, we looked in depth at the different visualizations and selected the appropriate one for our… Show more Create Visualizations with Qlik Sense, a scenario-based course, addresses the fundamentals required to enable one for self- service visualization and discovery. The course combines demonstrations and hands-on exercises to teach the essential concepts for designing effective Qlik Sense visualizations and guided stories. We were also given some tips to maximize our analysis within our apps. Additionally, we looked in depth at the different visualizations and selected the appropriate one for our data and the type of questions we would need to answer. Show less

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  Corporate Finance Institute® (CFI)

  2020 - 2020

  Data Science Fundamentals Data Processing Certificate of Completion

  In the Data Science Fundamentals course, I was taught an overview of why study data science and how it is used in the business and finance world. We went through the data science cycle of how to build machine learning models to make predictions.First, we discussed exploratory data analysis, feature selection, feature engineering, and other common methods to understand and prepare the data for analysis. Then we explored a few different algorithms used for both unsupervised and supervised… Show more In the Data Science Fundamentals course, I was taught an overview of why study data science and how it is used in the business and finance world. We went through the data science cycle of how to build machine learning models to make predictions.First, we discussed exploratory data analysis, feature selection, feature engineering, and other common methods to understand and prepare the data for analysis. Then we explored a few different algorithms used for both unsupervised and supervised machine learning models. We also discussed how to use validation/resampling techniques to train and test the data. Finally, we explored evaluation techniques to assess the model’s performance and improve the model based on the evaluation results. We then demonstrated the data science cycle using a real-life scenario. Show less

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  Mazowe High School

  2004 - 2008

  Activities and Societies: interact club

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  University of Zimbabwe

  2010 - 2015

  Bachelor of Science Honours Degree Economics 2.2

  Dissertation titled “Effects of climate variability on economic growth in Zimbabwe 1980-2005”, .

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  Corporate Finance Institute® (CFI)

  2019 - 2019

  Introduction to Corporate Finance Finance and Financial Management Services Certificate of completion

  The course covered the fundamentals of Corporate Finance: who the key players in the capital markets are, what the capital raising process looks like, the main business valuation techniques, types of valuation multiples, how to structure a deal, how to finance an acquisition, types of debt securities as well as types of equity securities.

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  Corporate Finance Institute® (CFI)

  2019 - 2019

  Excel Crash Course - Spreadsheet Formulas for Finance Financial planning & analysis Certificate of completion

  Excel course and tutorial on shortcuts, functions, and formulas for financial modeling. It is designed specifically for spreadsheet users who are already performing professional financial analysis and financial modeling or are looking to prep for a wall street career.

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  DataCamp

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  Certificate Data Scientist with R

  Learned how to use R for data science, from data manipulation to machine learning, and gained the career-building R skills needed to succeed as a data scientist.As I progressed through the courses in this track, I explored how learning data science with R can help to import, clean, manipulate, and visualize data. R is a versatile language for any aspiring data professional or researcher, and by learning the integral skills, I developed a solid foundation for my data science… Show more Learned how to use R for data science, from data manipulation to machine learning, and gained the career-building R skills needed to succeed as a data scientist.As I progressed through the courses in this track, I explored how learning data science with R can help to import, clean, manipulate, and visualize data. R is a versatile language for any aspiring data professional or researcher, and by learning the integral skills, I developed a solid foundation for my data science journey.Through interactive exercises, I got hands-on with some of the most popular R packages, including tidyverse packages like ggplot2, dplyr, and readr. I worked with real-world datasets as I wrote my own functions and learn foundational statistical and machine learning techniques. Show less

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  Philanthropy University

  2019 - 2019

  Certificate Planning for Monitoring and Evaluation Certificate of Achievement

  This five-module course provided an overview of how to measure your project’s success. Topics covered in this course included: data collection, management, analysis, and use.