What you will learn in Data Analysis and Visualization Foundations Specialization Course
- Gain a strong foundation in data analysis and visualization techniques.
- Learn data cleaning, preparation, and transformation using industry-standard tools.
- Master Excel, SQL, and Python for data manipulation and analysis.
- Explore data visualization techniques with Tableau and Matplotlib.
- Develop the ability to interpret and present insights effectively for decision-making.
Program Overview
Introduction to Data Analysis
⏱️2-4 weeks
- Understand fundamental data concepts and their role in business.
- Learn the importance of data-driven decision-making.
- Explore different types of data and their applications.
Data Cleaning and Preparation
⏱️4-6 weeks
- Work with Excel, SQL, and Python for data organization and transformation.
- Identify missing values, inconsistencies, and data errors.
- Apply best practices for structuring and cleaning datasets.
Data Analysis with SQL and Python
⏱️6-8 weeks
- Write SQL queries to extract and manipulate data.
- Use Python libraries like Pandas and NumPy for analysis.
- Perform statistical analysis and generate insights.
Data Visualization and Storytelling
⏱️8-10 weeks
- Learn best practices for creating impactful visualizations.
- Work with Tableau, Matplotlib, and Seaborn for data storytelling.
- Translate complex datasets into meaningful and compelling visual reports.
Final Capstone Project
⏱️10-12 weeks
- Apply all learned skills to a real-world data analysis project.
- Clean, analyze, and visualize data to solve a business problem.
- Present findings using professional dashboards and reports.
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Job Outlook
- Data analysis is one of the fastest-growing fields, with a projected 25% job growth by 2030.
- Entry-level data analysts earn between $60K – $85K per year, while experienced professionals can earn $90K+.
- Employers seek expertise in Excel, SQL, Python, and data visualization tools.
- The course prepares learners for roles such as Data Analyst, Business Analyst, and Marketing Analyst.
Specification: Data Analysis and Visualization Foundations Specialization
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FAQs
- Yes—each course features practical exercises and culminating projects:
- Detect fraud via credit card data visualization.
- Clean vehicle inventory using Excel pivot tables.
- Build interactive dashboards using KPI data with Excel and Cognos.
- Final course assesses readiness for foundational tasks like data wrangling and dashboard creation.
