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GitHub Repo https://github.com/vik673/IBM-Data-Science-Professional-Certificate-Applied-Data-Science-Capstone

vik673/IBM-Data-Science-Professional-Certificate-Applied-Data-Science-Capstone

Coursera Course Link: https://www.coursera.org/professional-certificates/ibm-data-science Instructions: Now that you have been equipped with the skills and the tools to use location data to explore a geographical location, over the course of two weeks, you will have the opportunity to be as creative as you want and come up with an idea to leverage the Foursquare location data to explore or compare neighborhoods or cities of your choice or to come up with a problem that you can use the Foursquare location data to solve. If you cannot think of an idea or a problem, here are some ideas to get you started: In Module 3 We explored New York City and the city of Toronto and segmented and clustered their neighborhoods. Both cities are very diverse and are the financial capitals of their respective countries. One interesting idea would be to compare the neighborhoods of the two cities and determine how similar or dissimilar they are. Is New York City more like Toronto or Paris or some other multicultural city? I will leave it to you to refine this idea. In a city of your choice, if someone is looking to open a restaurant, where would you recommend that they open it? Similarly, if a contractor is trying to start their own business, where would you recommend that they setup their office? These are just a couple of many ideas and problems that can be solved using location data in addition to other datasets. No matter what you decide to do, make sure to provide sufficient justification of why you think what you want to do or solve is important and why would a client or a group of people be interested in your project. Review criteria This capstone project will be graded by your peers. This capstone project is worth 70% of your total grade. The project will be completed over the course of 2 weeks. Week 1 submissions will be worth 30% whereas week 2 submissions will be worth 40% of your total grade. For this week, you will required to submit the following: A description of the problem and a discussion of the background. (15 marks) A description of the data and how it will be used to solve the problem. (15 marks) For the second week, the final deliverables of the project will be: A link to your Notebook on your Github repository, showing your code. (15 marks) A full report consisting of all of the following components (15 marks): Introduction where you discuss the business problem and who would be interested in this project. Data where you describe the data that will be used to solve the problem and the source of the data. Methodology section which represents the main component of the report where you discuss and describe any exploratory data analysis that you did, any inferential statistical testing that you performed, if any, and what machine learnings were used and why. Results section where you discuss the results. Discussion section where you discuss any observations you noted and any recommendations you can make based on the results. Conclusion section where you conclude the report. Your choice of a presentation or blogpost. (10 marks) My Submission Clearly define a problem or an idea of your choice, where you would need to leverage the Foursquare location data to solve or execute. Remember that data science problems always target an audience and are meant to help a group of stakeholders solve a problem, so make sure that you explicitly describe your audience and why they would care about your problem. This submission will eventually become your Introduction/Business Problem section in your final report. So I recommend that you push the report (having your Introduction/Business Problem section only for now) to your Github repository and submit a link to it. Text Box For Link: Describe the data that you will be using to solve the problem or execute your idea. Remember that you will need to use the Foursquare location data to solve the problem or execute your idea. You can absolutely use other datasets in combination with the Foursquare location data. So make sure that you provide adequate explanation and discussion, with examples, of the data that you will be using, even if it is only Foursquare location data. This submission will eventually become your Data section in your final report. So I recommend that you push the report (having your Data section) to your Github repository and submit a link to it. Text Box For Link:

GitHub Repo https://github.com/ngone8lo/Project-O2C-Dashboard

ngone8lo/Project-O2C-Dashboard

Creating a Celonis dashboard using skills from the Celonis Analyst training (charts/tables, KPIs and formulas, background filters, dynamic components,…) for the Order-to-Cash (O2C) process. Public link to dashboard: https://toronto-university.eu-2.celonis.cloud/process-mining/public/9be9667e-ea03-47ad-b052-8706d3125472/#/frontend/documents/9be9667e-ea03-47ad-b052-8706d3125472/view

GitHub Repo https://github.com/Blackservices/didactic-spork

Blackservices/didactic-spork

Nikola Petrovic: Naomi Batra: Blackstone Energy services is an international oil and gas exploration and development company, focused on the identification, acquisition and development of upstream petroleum opportunities in politically stable and technically de-risked jurisdictions around the world. The Company is listed on the Toronto Stock Exchange (TSX-V) and AIM and has a strategic portfolio of offshore projects in Guyana (South America) and Namibia (Africa). In partnership with Tullow Oil,Blackstone Energy Services holds a 23% working interest in the 1800 km2 Orinduik offshore block in the shallow water of the prospective Guyana-Suriname basin. Notably, the licence area is adjacent and updip to ExxonMobil’s world class Liza discoveries where recoverable resources could be c.1.4 Billion barrels and field development planning has begun in earnest. In offshore Namibia,Blackstone Energy Services operates and is the major interest owner of four prospective licence blocks in the Walvis Basin; Sharon, Cooper, Guy and Tamar. It is estimated that 25 billion barrels of prospective resources could be held within this licence area. The Walvis Basin is a proven petroleum system and Blackstone Energy Services is working in partnership with Tullow Oil, NAMCOR and AziNam on projects in the region. Blackstone Energy Services comprises a qualified and experienced management team, whose skills are utilised to operate the offshore licences. When a licence is acquired,Blackstone looks to bring on board a reputable and globally recognised oil and gas partner to assist with the development and operating of the licence block. In addition, Blackstone Energy Services's Board and Management team fully understand the assets and the countries in which it operates, which leads to the development of successful relations with local governments and with other oil and gas companies operating in the region. Why we at Blackstone Energy Services are choosing crypto investors is solely based on the new world competition and therefore taking a new way to make our business smart,reachable,reliable and get more willing people involved,sharing wealth,resposibilty,and of course profit opportunites. IPO NOTICE. The contents of this announcement, which have been prepared by and are the sole responsibility of the Company, have been approved by BNP Paribas solely for the purposes of section 21(2)(b) of the Financial Services and Markets Act 2000. The information contained in this announcement is for background purposes only and does not purport to be full or complete. No reliance may be placed for any purpose on the information contained in this announcement or its accuracy or completeness. Blackstone Energy services Offer Price of 1.92 pounds per share The Offer Price has been set at 210 pounds per Ordinary Share for shares to be traded on the Digital crypto market of 0.4219 BTC. • Based on the Offer Price, the total market capitalisation of Blackstone Energy services at the commencement of conditional dealings will be approximately £1.14 billion (equivalent to US$1.90 billion and or 189969.83 BTC) (excluding the exercise of the overallotment option) • The Global Offer comprises a base offering (the “Base Offer”) of 25,534,690 new shares issued by the Company, representing 26.4 per cent of the Company’s enlarged issued share capital (excluding the exercise of the over allotment option) • The Base Offer will raise gross proceeds of approximately £300.9 million (equivalent to US$500 million and or 50138.78 BTC) • The Over-allotment Option shall consist of 10,336,183 new shares representing 15% of the final amount allocated to investors outside of Namibia (the “International Offering”) in the Base Offer. The Over-allotment Option can be exercised for a period of 45 calendar days from today.

GitHub Repo https://github.com/ChiaHungPing/Capstone-Project---The-Battle-of-Neighborhoods-

ChiaHungPing/Capstone-Project---The-Battle-of-Neighborhoods-

Discussion of the Background The aim of the report is to answer the questions from both home buyer or an investor if they want to buy or invest a home in a neighborhood. If, a home buyer or investor wishes to buy a home in a neighborhood which is located in the city center, which neighborhood is categorized in the city center or which neighborhood is located at the outer part of the city center. This report not only could address the issue above, it could potentially act as an indicator or a proxy to measure the relative average housing price between the ‘clusters’ of neighborhoods. We will be using the frequency of occurrence of types of retail store within a neighborhood as a characteristic for clustering. Description of the data The information of each neighborhood in Toronto will be obtained from Wikipedia and readily available Geocode package and the FourSquare data to explore the retail stores that are located in each neighborhood. Web scrapping technique of BeautifulSoup will be used to extract the data from Wikipedia of list of neighborhoods and API to explore the retail stores in each neighborhood.

GitHub Repo https://github.com/TheRealN8/WeatherWorks

TheRealN8/WeatherWorks

Weather app that displays real time weather data in any city and country. Background image randomized but related to the place user is searching the weather for (ie. search "Toronto" for example, the background image will be related to Toronto key search).

GitHub Repo https://github.com/ABhatti167/Shell_Project

ABhatti167/Shell_Project

Developed a fully functional shell program mimicking bash, supporting features such as chat services and background process management in CSC209H5 in University of Toronto.

GitHub Repo https://github.com/wujimgle/Capstone-Project_The-Battle-of-Neighborhoods

wujimgle/Capstone-Project_The-Battle-of-Neighborhoods

Now that you have been equipped with the skills and the tools to use location data to explore a geographical location, over the course of two weeks, you will have the opportunity to be as creative as you want and come up with an idea to leverage the Foursquare location data to explore or compare neighborhoods or cities of your choice or to come up with a problem that you can use the Foursquare location data to solve. If you cannot think of an idea or a problem, here are some ideas to get you started: In Module 3, we explored New York City and the city of Toronto and segmented and clustered their neighborhoods. Both cities are very diverse and are the financial capitals of their respective countries. One interesting idea would be to compare the neighborhoods of the two cities and determine how similar or dissimilar they are. Is New York City more like Toronto or Paris or some other multicultural city? I will leave it to you to refine this idea. In a city of your choice, if someone is looking to open a restaurant, where would you recommend that they open it? Similarly, if a contractor is trying to start their own business, where would you recommend that they setup their office? These are just a couple of many ideas and problems that can be solved using location data in addition to other datasets. No matter what you decide to do, make sure to provide sufficient justification of why you think what you want to do or solve is important and why would a client or a group of people be interested in your project. Review criterialess This capstone project will be graded by your peers. This capstone project is worth 70% of your total grade. The project will be completed over the course of 2 weeks. Week 1 submissions will be worth 30% whereas week 2 submissions will be worth 40% of your total grade. For this week, you will required to submit the following: A description of the problem and a discussion of the background. (15 marks) A description of the data and how it will be used to solve the problem. (15 marks) For the second week, the final deliverables of the project will be: A link to your Notebook on your Github repository, showing your code. (15 marks) A full report consisting of all of the following components (15 marks): Introduction where you discuss the business problem and who would be interested in this project. Data where you describe the data that will be used to solve the problem and the source of the data. Methodology section which represents the main component of the report where you discuss and describe any exploratory data analysis that you did, any inferential statistical testing that you performed, if any, and what machine learnings were used and why. Results section where you discuss the results. Discussion section where you discuss any observations you noted and any recommendations you can make based on the results. Conclusion section where you conclude the report. 3. Your choice of a presentation or blogpost. (10 marks)