Good day everyone, I recently joined Quantum Analytics NG as a data analyst intern, and I am excited to make my first publication here of an analysis dashboard that I prepared myself. It’s my 2nd dashboard assignment in Quantum Analytics Ng. Dashboard Title: Unicorn Companies Analysis Dashboard. Data Source: Quantum Analytics NG. Tool Used: Power BI. Some of the generated Insights: · Total of the Unicorn Companies. · Total Number of Unicorn Companies. · Number of industries the Unicorn Companies fall into. · Countries with most Unicorn companies. · Top 10 most funded Unicorn Companies. · Top 10 most valued Industries that these companies belong to, Etc. A very special thanks to: Quantum Analytics NG, Jonathan Osagie, Christian Okwara and the entire Quantum Analytics team. #dataanalysis #quantumanalyticsng
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Hello everyone, my name is Lillian, an intern at Quantum Analytics. I have been tasked to generate insights from the Space mission data. PROJECT FIFTEEN: SPACE MISSION ANALYSIS The objective of this project was to create a report with the following insights: 1. Total number of missions 2. Total number of successful mission 3. Total failure 4. Total prelaunch failure 5. Total partial failure 6. Total number of companies 7. Mission trend over the months 8. Most successful mission by company 9. Missions carried out by each rocket 10. Missions by mission status 11. Missions carried out by each country This was my very first analysis using Power BI, and I am really thankful for the growth in this journey so far. My growth would not have been possible without my amazing facilitators: Quantum Analytics NG Jonathan Osagie Christian Okwara Abdullah Bankole, MCDAA GMNSE Godswill Ojumeaka
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Risk Analyst | Accounts Payable/Receivable Specialist | Data Analyst & Consultant | MSc International Business & Management | Risk Management
Hello everyone, I present to you my 1st project as a data analyst intern with Quantum Analytics NG. It is imperative that I appreciate Quantum Analytics NG for giving me the support and learning platform needed to achieve this milestone. I will be doing a descriptive analysis of the dataset below. ✅ Project Title: Airplane Crash Data Analysis. ✅ Data Source: Quantum Analytics NG ✅ Visualization Tool: Power BI. ✅ Key Performance Indicators: ● Total fatalities. ● Total aboard. ● Total deaths. ● Total aircrafts. Based on the dataset, the following key insights were generated. ● Top 7 fatalities by aircraft operators. ● Top 7 fatalities by aircraft. ● Fatalities by location. ● Aircraft routes. ● Number of fatalities by months. ● Timeframe in which fatalities occurred. ● Years with the highest fatalities. ✅ Acknowledgement Quantum Analytics NG, Jonathan Osagie, Blessing Olayemi
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Good day everyone, I am delighted to share my 16th project with you titled "Historical Stock Price of 10 Popular Companies". Been a data analyst intern at Quantum Analytics NG has contributed greatly to the achievement of this project. Visualization tool:- Power BI Data source:- Quantum Analytics NG KPIs:- a.) Total volume b.) Total stock price (low) c.) Total stock price (high) d.) Total stock price (Adj close) e.) Total companies Insights:- 1.) Price growth by company 2.) Total volume by company 3.) Stock price prediction Special thanks to my facilitators, Jonathan Osagie, Christain Okwara, Abdullah Bankole (MCDAA, GMNSE), Segun Umoru, Prince Chukwemeka, Godswill Ojumeaka and Quantum Analytics NG team. #dataanalyst #datascience #datavisualization #project #powerbi #problemsolvingskills
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Hi Everyone, I am excited to share with you my second project as a Data Analyst Intern with Quantum Analytics NG. Project Title: Sales Activities for WixSin Company Dataset Source: Quantum Analytics NG Tool: Microsoft Excel Outcome: Microsoft Excel Interactive Dashboard KPIs: - Total Revenue - Total Units Dashboard Insights/Business Case Questions: - Monthly Revenue Growth - Revenue Trend by Weekdays - Category Proportion to Revenue - State Contribution to Revenue - Revenue by Segment - Top 5 products Slicers: - Category - Weekday Acknowledgement Quantum Analytics NG, Jonathan Osagie and Godswill Ojumeaka. Thanks for watching! #DataAnalysis #MicrosoftExcel #Data #DataVisualization
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Project 4 Project Title: HISTORICAL STOCK OF 10 COMPANIES Hi there, my name is Sophia. I am a Data Analyst Intern with Quantum Analytics (Quantum Analytics NG) and will provide insight my project dashboard. Visualization tool: Power BI Desktop. In this project, I used Power BI query to clean and transform the dataset provided by Quantum Analytics NG. Afterwards, I visualized the transformed data in the Power BI Dashboard. Insight Generated includes: Stock Analysis of Facebook, Tesla, Zoom, Netflix, Apple, Microsoft, Uber, Walmart, Amazon and Google 1. Total opening stocks 2. Total Closing stocks 3. Total stock volumes of companies Please listen to get more insight from the Visual My heartfelt gratitude goes to Quantum Analytics NG, Jonathan Osagie, Godswill Ojumeaka, Abdullah Bankole, Christian Okwara hashtag #powerbidashboard hashtag #datacleaning hashtag #dataanalysis hashtag #visualization
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Good day everyone, Here is one of my projects as an intern with Quantum Analytics NG PROJECT TOPIC: DATA SOURCE: QUANTUM ANALYTICS NG DATA VISUALIZATION TOOL: Powerbi KPIs DERIVED; Lab confirmed death Affected states Top 5 lab confirmed cases by states Deaths by top 5 affected states States affected Lab confirmed cases Number of deaths Cases discharged For more insights from the dashboard, kindly watch the clip attached. Your feedback and comments are highly appreciated. Special thanks to my facilitators: Jonathan Osagie, Godswill Ojumeaka, Christian Okwara,Segun Umoru #analytics #powerbi
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Greetings, esteemed audience, I am Joseph Aghiagbe, currently sharpening my skills as an intern at Quantum Analytics NG. I am eager to share insights from my 11th project presentation, where I utilized PowerBI for data visualization. Today’s discussion is centered around the “Historical Stock Price Analysis of 10 Popular Companies”. Please note that all transactions discussed in this presentation are denominated in dollars. We will be delving into Key Performance Indicators (KPIs) such as the all-time high price, all-time low price, average of open, close, high, and low prices, and the total volume. Here’s a preview of the insights this presentation will offer: yearly and quarterly total volume, yearly averages of open, close, high, and low prices, yearly maximum of open and close prices, and quarterly sum of price change (%). I am profoundly grateful to Quantum Analytics NG for this remarkable opportunity and for providing the Dataset. I would also like to express my deep appreciation to Jonathan Osagie, Prince Chukwuemeka (MCDAA, MCT), Segun Umoru, Christian Okwara, and Abdullah Bankole (MCDAA, GMNSE) for their invaluable guidance and support throughout this project. Stay tuned for more updates! #QuantumanalyticsNG
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PROJECT 1 Good day, I will be presenting my first project analysis as an intern with quantum analytics *Title: WHO COVID-19 data analysis report 2020-2024 *Visualization tool: Microsoft Power BI *KPI: -total case -total death -total survival -total country *Insight -annual reported case trend -case reported by month -death and survival proportion -top 10 country by reported case -top 10 country by death -top 10 country by survival *Recommendations 1. World leaders should be more proactive and keep politics aside so as to avoid the bottle neck of sharing information on time which was a contributing factor to the initial spike of spread of Covid. 2. Countries with a high rate of immigration should improve on their health condition scrutiny of their visitors so as to spot health anomalies early enough before it spreads. 3.A world wide campaign should be rolled out to encourage people to make good health choices and life styles that could improve their immunity to disease invasion as it was observed that countries with less sedentary life style with higher preference for natural and healthy food choice had a better survival rate than those that did otherwise. thank you. Special gratitude to Quantum Analytics NG Jonathan Osagie
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Project Title: WHO Covid-19 Global Analysis Hi there, my name is Oladokun Oludolapo. I am a Data Analyst Intern with Quantum Analytics (Quantum Analytics NG) and will provide insight into my project dashboard. Visualization tool: Power BI Desktop. In this project, I used Power BI query to clean and transform the dataset provided by Quantum Analytics NG. Afterwards, I proceeded to visualize the transformed data in the Power BI Dashboard. Insight Generated includes: 1. Number of cases globally 2. Number of vaccinated persons globally 3. Number of global death. etc. For a more comprehensive understanding of this project, listen to the video below. thank you. Quantum Analytics NG Jonathan Osagie
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Here's my 10th project as an intern at Quantum Analytics Project name: Shark Attacks Visualization tool: Power BI Data source: Quantum Analytics NG Shark attacks reported over the past 100 years, including location, activity, victim info (name, gender, age), shark species. Recommended Analysis 1. Make a graph of number of shark attacks annually over time since 1900. What trends do you see? 2. Which countries report the most shark attacks? Within those countries, which areas and locations seem to be the most dangerous? 3. The next questions will require you to practice your data cleaning skills. The data is pretty raw, and will need some work before you analyze it... 4. What body parts are most often injured? (hint: you'll need to perform text analysis on the Injury column) 5. Are shark attacks more common during certain parts of the day (again, the Time data isn't quite ready to go. You may need to transform it before analyzing) 6. Which species of shark are attacking most often? (you guessed it... this data is messy too!) INSIGHTS GENERATED -Total number of Countries -Total Location -Total Areas -Total Shark Attack -Body Part Injured -Total Shark attack by year -Total Shark attack by country -Total Shark attack by area -Total Shark attack by specie of shark -Total Shark attack by injury part -Total Shark attack by day time description Thanks to Quantum Analytics NG, Jonathan Osagie, Christian Okwara
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