coursera ibm data analyst capstone project github answers

Data Science — ashna

Looking for help from course takers in IBM Specialization track.

Can someone help to review my capstone? 

https://www.coursera.org/learn/ibm-cybersecurity-breach-case-studies/peer/VSq7Z/applied-project-investigate-a-recent-data-breach/review/XGxsR7wmEeq-Hg6S61FThw

Thanks in advance

  • Data Science

coursera ibm data analyst capstone project github answers

I  stuck at capstone project on data breach. Would you be kind enough to review for me? https://www.coursera.org/learn/ibm-cybersecurity-breach-case-studies/peer/VSq7Z/applied-project-investigate-a-recent-data-breach/review/EZvMQB0PEeuAsA5_o4vabw

coursera ibm data analyst capstone project github answers

Manoj Kumar C R

Hey aashna i reviewed yours and can you help me in finishing the assessment so that we can do together

https://www.linkedin.com/in/manoj-kumar-c-r-b871311a9

Please connect to me over here 

coursera ibm data analyst capstone project github answers

RohinReghunath

i’m also stuck at this please help  https://www.coursera.org/learn/ibm-cybersecurity-breach-case-studies/peer/VSq7Z/applied-project-investigate-a-recent-data-breach/review/LUAZy_auEeueAg5VKClqKQ

coursera ibm data analyst capstone project github answers

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coursera ibm data analyst capstone project github answers

coursera ibm data analyst capstone project github answers

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Applied Data Science Capstone

Image of instructor, Yan Luo

Financial aid available

IBM

About this Course

This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets.

In this course you will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders. You will be tasked with predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. With the help of your Data Science findings and models, the competing startup you have been hired by can make more informed bids against SpaceX for a rocket launch. In this course, there will not be much new learning, instead you’ll focus on hands-on work to demonstrate and apply what you have learnt in previous courses. By successfully completing this Capstone you will have added a project to your data science and machine learning portfolio to showcase to employers.

This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.  

Could your company benefit from training employees on in-demand skills?

What you will learn

Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders 

Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation

Write Python code to create machine learning models including support vector machines, decision tree classifiers, and k-nearest neighbors

Evaluate the results of machine learning models for predictive analysis, compare their strengths and weaknesses and identify the optimal model 

Skills you will gain

Instructors

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Joseph Santarcangelo

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IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

For more information about IBM visit: www.ibm.com

Get a head start on your degree

See how employees at top companies are mastering in-demand skills

Syllabus - What you will learn from this course

Introduction.

In this capstone, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this module, you will be provided with an overview of the problem and the tools you need to complete the course.

Exploratory Data Analysis (EDA)

In this module, you will collect data on the Falcon 9 first-stage landings. You will use a RESTful API  and web scraping. You will also convert the data into a dataframe and then perform some data wrangling.

Interactive Visual Analytics and Dashboard

In this module, you will build a dashboard to analyze launch records interactively with Plotly Dash. You will then build an interactive map to analyze the launch site proximity with Folium.

Predictive Analysis (Classification)

In this module, you will use machine learning to determine if the first stage of Falcon 9 will land successfully. You will split your data into training data and test data to find the best Hyperparameter for SVM, Classification Trees, and Logistic Regression. Then find the method that performs best using test data.

Present Your Data-Driven Insights

In this module, you will compile all of your activities into one place and deliver your data-driven insights to determine if the first stage of Falcon 9 will land successfully.

TOP REVIEWS FROM APPLIED DATA SCIENCE CAPSTONE

It has been one heck of a journey, there were moments of confusion but then followed by the joy of eureka. I have found the course very useful. Special thanks to the creators and the instructors

Overall it was a good course. It could have been better is the support staff for the course were available answering questions. Some of the materials are outdated and needs to be updated.

A real data science projet. This one took me the most time between all other courses in this formation. I is useful and make you work with real problems and searching for real data.

This Program was well structured, it was a great combination of learning and problem solving. You also got a great chance to see how useful data can be and how easy it is to make it work for you

Frequently Asked Questions

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center .

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  1. GitHub

    A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Capstone project for IBM Data analyst professional certificate

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