ibm data analyst capstone project presentation

In this course provided by IBM, I will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets. The capstone project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization. I believe this project is a great opportunity to showcase Data Analytics skills, and demonstrate proficiency to potential employers. The following are the notes I took during this course.

ibm data analyst capstone project presentation

Data Collection

Collecting data using apis.

The HTTP protocol allows you to send and receive information through the web including webpages, images, and other web resources.

Uniform resource locator(URL): the most popular way to find resources on the web

Requests in Python

Get Request with URL Parameters

You can use the GET method to modify the results of your query

Post Requests

the POST request sends the data in a request body

Collecting Data Using Webscraping

Review of Webscraping

Scrape data from html table

Exploring Data

Load the dataset

Explore the dataset

Data Wrangling

Finding Duplicates

Removing Duplicates

Finding Missing Values

Determine Missing Values

Normalizing Data

Exploratory Data Analysis

Import necessary modules

Distribution: Determine how the data is distributed

Correlation: Find the correlation between all numerical columns

Data Visualization

Work with Database

Visualizing Distribution of Data

Relationship

Composition

Dashboard Creation

IBM Cognos Dashboard Embedded (CDE) is an AI-fueled business intelligence service that supports the entire data analytics cycle, from discovery to operationalization. It provides users with data discovery capabilities to visually explore and interact with their data to identify the key insights for improving data driven decisions. Users can perform data discovery and then quickly assemble that information into interactive, visually appealing dashboards; all without the need of formal training.

Add a Cognos Dashboard Embedded (CDE) service and upload external data files to your project (supports CSV file only)

General navigation around the CDE user interface (UI), start a new dashboard with a template in CDE, populate it with a data visualization as well as save the dashboard.

Presentation of Findings

Data collected, cleaned and organized -> Report (paper style report or slideshow presentation)

Elements Of A Successful Data Findings Report

Factors to remember in accurately conveying your message

Final Presentation (PDF version):

Or download it from My Github Repository

Assignments

Visit my Github Repository

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License . 本文永久地址： http://blog.zhuangzhihao.top/IBM-Data-Analyst-Capstone-Project/

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This course is part of the IBM Data Analyst Professional Certificate

IBM Data Analyst Capstone Project

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Financial aid available

About this Course

By completing this final capstone project you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.

You will perform the various tasks that professional data analysts do as part of their jobs, including: - Data collection from multiple sources - Data wrangling and data preparation - Exploratory data analysis - Statistical analysis and data mining - Data visualization with different charts and plots, and - Interactive dashboard creation. The project will culminate with a presentation of your data analysis report for various stakeholders in the organization. The report will include an executive summary, your analysis, and a conclusion. You will be assessed on both your work for the various stages in the Data Analysis process, as well as the final deliverable. As part of this project you will demonstrate your proficiency with using Jupyter Notebooks, SQL, Relational Databases (RDBMS), Business Intelligence (BI) tools like Cognos, and Python Libraries such as Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, Seaborn and others. This project is a great addition to your portfolio and an opportunity to showcase your Data Analytics skills to prospective employers.

It is highly recommend that you have completed all of the courses in the IBM Data Analyst Professional Certificate prior to starting this course.

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

What you will learn

Apply different techniques to collect and wrangle data

Showcase your Data Analysis and Visualization skills

Create a data analysis report and a compelling presentation

Demonstrate proficiency with various Python Libraries

Skills you will gain

Instructors

Ramesh Sannareddy

IBM Skills Network

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

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

Syllabus - What you will learn from this course

Data collection.

Data Collection is the first step in solving any analysis problem and can be collected in many formats and from many sources. In the first module of the Capstone, we will collect data by scraping the internet and using web APIs.

Data Wrangling

In this module, you will be focusing on the cleaning of your dataset with various techniques. With these techniques you will be identifying duplicate rows, finding missing values, and normalizing the data.

Exploratory Data Analysis

In this module, begin working with the cleaned dataset from the previous module. You will now begin to analyze the dataset to find the distribution of data, presence of outliers and the correlation between different columns.

Data Visualization

In module 4 of the Capstone, you will be required to create visualizations using the developer survey data. The visualizations you create should highlight the distribution of data, relationships between data, the composition of data, and comparison of data.

Building A Dashboard

In this module, you will create a dashboard using IBM Cognos Analytics. This platform will give you the ability to create various charts while assembling a dashboard that is appealing and easy to understand. Your dashboard will contain your data analysis, which should be intuitive and allow for the drill-down of data.

Final Assignment: Present Your Findings

You have analyzed the data in the previous modules, and now it is time to demonstrate your storytelling skills. In this module, you will create a compelling story that helps to clarify your analysis in an easy-to-understand presentation.

TOP REVIEWS FROM IBM DATA ANALYST CAPSTONE PROJECT

The capstone contains content that are not discussed on previous courses. I hope you will improve this later on.

Amazing course

very helpful for those who needs to polish their skills and trying to landing their career in field of Data

Was pretty fun working on all the assignments & making the presentation.

Course was excellent! Enjoyed the final project and being able to work with authentic data that helps understand IT career trends.

About the IBM Data Analyst Professional Certificate

Gain the job-ready skills for an entry-level data analyst role through this Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).

Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques. This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills. Upon successful completion of this program, you’ll have analyzed real-world datasets, created interactive dashboards, and presented reports to share your findings, giving you the confidence and the portfolio to begin a career as an associate or junior data analyst. You’ll also build the foundation for other data disciplines such as data science or data engineering. This program is ACE® recommended—when you complete, you can earn up to 12 college credits.

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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Data Analyst Capstone Project

This badge earner has demonstrated an application of Data Analytics skills and techniques using a hands-on project involving a real-world dataset. The individual has gathered the required datasets, cleaned and wrangled data, performed data mining and analysis, created charts and visualizations, built interactive dashboards, and presented the results using a PowerPoint presentation.

Earning Criteria

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At the end of project,I prepared a presentation of my data analysis report, with an executive summary for the various stakeholders in the organization including
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data collected as part of the 2019 Stack Overflow Developer ... Data Wrangling: A portion of the dataset (provided by IBM) was loaded and.
IBM Data Analyst Capstone Project
The capstone project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization
IBM Data Analyst Capstone Project
Gain the job-ready skills for an entry-level data analyst role through this Professional Certificate from IBM and position yourself competitively in the
Capstone-final-presentation
Capstone-final-presentation technology trends of data professionals hui zeng outline ... dataplatform.cloud.ibm/dashboards/dd71607a- e85a-45a9-ada0-
Final project.pdf
Capstone Project Final Presentation Hrishikesh Galande May 5 2021 OUTLINE ... Data Analysis ( Data wrangling ofprogramming languages, datanaseskills
IBM Data Analyst Capstone Project from Coursera
In this course you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst
Data Analyst Capstone Project
Data Analyst Capstone Project. Issued by IBM ... built interactive dashboards, and presented the results using a PowerPoint presentation.