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Data Analysis and Visualization Foundations Specialization

An ideal course for beginners, covering Excel, SQL, Python, and Tableau to develop strong data analysis and visualization skills.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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What you will learn

  • 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.
9.7Expert Score
Highly Recommended
This course is an excellent introduction to data analysis and visualization, providing hands-on experience with industry-standard tools.
Value
9.6
Price
9.5
Skills
9.6
Information
9.5
PROS
  • Covers Excel, SQL, Python, and Tableau for comprehensive data analysis.
  • Hands-on projects and case studies for practical learning.
  • Beginner-friendly, with step-by-step guidance.
  • Helps build a professional portfolio for job applications.
CONS
  • Does not cover advanced machine learning techniques.
  • Requires self-discipline to complete at a steady pace.
  • Some tools (like Tableau) may require extra practice for mastery.

Specification: Data Analysis and Visualization Foundations Specialization

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Data Analysis and Visualization Foundations Specialization
Data Analysis and Visualization Foundations Specialization
Course | Career Focused Learning Platform
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