IBM Data Analyst Capstone Project

Go to Course: https://www.coursera.org/learn/ibm-data-analyst-capstone-project

Introduction

### Course Review: IBM Data Analyst Capstone Project In the rapidly evolving field of data analytics, hands-on experience can be the bridge between theoretical knowledge and practical application. The **IBM Data Analyst Capstone Project** on Coursera is a perfect embodiment of this ethos, providing learners with the opportunity to synthesize their knowledge in a guided yet dynamic environment. This course serves as the culmination of the IBM Data Analyst Professional Certificate, bringing together all the essential skills and competencies that aspiring data analysts need to succeed. #### Course Overview The Capstone Project invites you to step into the shoes of an Associate Data Analyst, challenged with a realistic business problem that requires adept data analysis skills. Through this immersive experience, you will handle real-world datasets and follow the professional data analysts’ workflow, reinforcing what you've learned throughout the previous courses. #### Syllabus Breakdown 1. **Data Collection**: One of the initial steps in any data analysis journey is data collection. This module focuses on techniques such as web scraping and utilizing APIs to gather data from the internet. With a blend of practical exercises and theoretical insights, you will learn how to acquire diverse datasets for your analysis. 2. **Data Wrangling**: Data is often messy. This module emphasizes the importance of cleaning your data, including identifying duplicates, addressing missing values, and normalizing datasets. Mastering these techniques is crucial as it's estimated that analysts spend up to 80% of their time on data preparation. 3. **Exploratory Data Analysis (EDA)**: In this segment, you will dive into your cleaned datasets to uncover patterns and insights. You will explore the distribution of variables, identify outliers, and assess correlations among different data points, setting the foundation for deeper analysis. 4. **Data Visualization**: With your analytical insights in hand, this module guides you in visualizing your findings using developer survey data. The course emphasizes the creation of visual representations that effectively communicate relationships, distributions, and comparisons, enhancing the interpretability of your findings. 5. **Building A Dashboard**: Using IBM Cognos Analytics, you will create an interactive dashboard that showcases your analytical skills. This platform allows you to design engaging charts and presentations, enabling stakeholders to dissect data intuitively. The creation of this dashboard is a significant skill for any professional data analyst who will present data regularly. 6. **Final Assignment: Present Your Findings**: The final module is an exercise in storytelling. Here, you will compile your previous findings into a coherent presentation, honing your ability to communicate complex data insights in an understandable manner. This skill is invaluable in business contexts, where clear communication can inform decision-making processes. #### Recommendation I highly recommend the **IBM Data Analyst Capstone Project** for anyone serious about pursuing a career in data analytics. Whether you're new to the field or looking to refine your skills, this course offers critical insights into the lifecycle of data analysis—from collection to visualization and presentation. The combination of practical activities and theoretical knowledge equips you with a well-rounded skill set. Moreover, the backing of IBM lends credibility and depth to the learning experience, ensuring you're gaining insights from industry leaders. By undertaking this project, learners can expect to walk away with not just theoretical understanding, but tangible skills that can be immediately applied in real-world scenarios. Whether you aim for a role in business intelligence, data consulting, or another data-centric career, this capstone serves as an excellent portfolio piece to showcase your skills to future employers. Embark on your journey toward data analytics prowess with the IBM Data Analyst Capstone Project, and unlock your potential in one of the most sought-after fields today!

Syllabus

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.

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.

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.

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.

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.

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.