Data Analysis and Visualization
Data Analysis and Visualization Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Data Science by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Analysis and Visualization Training is suitable for the following target audiences:
Data Professionals: People who wish to improve their abilities in processing and visualizing data and work in data-centric positions like data scientists, business analysts, or analysts.
IT Professionals: IT experts want to enhance system performance monitoring and reporting by incorporating data visualization tools into their processes.
Business executives: Those in charge of making decisions who must decipher complicated data and effectively convey conclusions to stakeholders to facilitate strategic planning.
Graduates and students: Future professionals in business, analytics, or STEM who wish to develop fundamental data visualization and analysis abilities.
Entrepreneurs and Small Business Owners: Small business owners and entrepreneurs that want to leverage data-driven insights to improve operations, comprehend consumer behavior, and spur company expansion.
Data Analyst: Data analysts examine data sets to find patterns, produce reports, and offer practical suggestions.
Business Intelligence (BI) Analyst: Creating dashboards and reports with visualization tools such as Tableau, Power BI, or Qlik is the responsibility of a business intelligence (BI) analyst.
Data Scientist: Using data visualization and analysis to create machine learning algorithms and predictive models.
Market research analyst: Understanding consumer behavior and market trends through data insights and visuals.
Operations Analyst: Using data-driven insights to improve operational efficiency and optimize company operations.
Financial Analyst: Financial analysts examine financial information and produce visual aids to help investors make decisions.
Jobs with competitive pay and room for advancement are available in the US and Canada in the technology, finance, healthcare, retail, manufacturing, and government sectors.
- Overview of Data Analysis Workflow
- Types of Data and Data Sources
- Introduction to Spreadsheets and CSV Files
- Basic Statistics and Terminology
- Data Structures and Libraries (Pandas/Numpy or Tidyverse)
- Data Importing and Exporting
- Data Cleaning and Preprocessing
- Handling Missing Values and Outliers
- Descriptive Statistics
- Grouping and Aggregating Data
- Correlation and Distribution
- Identifying Trends and Patterns
- Principles of Effective Visualization
- Bar Charts, Line Charts, and Histograms
- Scatter Plots and Box Plots
- Choosing the Right Chart
- Multi-dimensional Data Visualization
- Heatmaps and Pair Plots
- Time-Series Visualization
- Interactive Visuals (Intro to Plotly or Tableau)
- Data Storytelling Concepts
- Designing Dashboards for Insights
- Filters, Interactions, and Layouts
- Presenting to Non-Technical Audiences
- Hands-on Project: End-to-End Data Analysis
- Industry-Specific Case Study (e.g., Sales, Health, Finance)
- Peer Reviews and Group Feedback
- Final Project Work and Project Presentation
- Review and Next Steps for Further Learning
Note: Curriculum can be changed as per the latest industry standards.
Data Analysis and Visualization training teaches how to collect, clean, analyze and interpret data to uncover insights. It also covers how to present those insights clearly using charts, graphs and dashboards.
Most programs use Python (Pandas, Matplotlib, Seaborn, Plotly) or R (tidyverse, ggplot2) for analysis and Tableau, Power BI, or Excel for visualization.
No prior experience is required for beginner-friendly courses. The program usually starts with the basics and builds up gradually.
Datasets are drawn from real-world domains like finance, healthcare, e-commerce, marketing, and public data portals. Expect messy, realistic data.
Yes. Checkmate IT training includes a capstone project where you analyze a dataset, create visualizations and present insights.
They ‘ll learn to clean, analyze, interpret, and visualize data and create interactive dashboards.
Both. You’ll learn how to use visualization tools and also why certain visuals work better, based on design principles and data storytelling.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
On average this training will last for 8 weeks.
Yes, it builds core skills for data analyst, business analyst, and reporting roles. A strong capstone project can go in your portfolio.
Yes, Checkmate IT Tech offers a certificate of completion if you finish all modules and submit your project.
Support is usually available through live Q&A , google classroom platform or mentorship sessions, depending on the format.
We currently offer online sessions with flexible weekday/weekend batches. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
- Submit Form
Job opportunities in USA and Canada
Data Analyst: Data analysts examine data sets to find patterns, produce reports, and offer practical suggestions.
Business Intelligence (BI) Analyst: Creating dashboards and reports with visualization tools such as Tableau, Power BI, or Qlik is the responsibility of a business intelligence (BI) analyst.
Data Scientist: Using data visualization and analysis to create machine learning algorithms and predictive models.
Market research analyst: Understanding consumer behavior and market trends through data insights and visuals.
Operations Analyst: Using data-driven insights to improve operational efficiency and optimize company operations.
Financial Analyst: Financial analysts examine financial information and produce visual aids to help investors make decisions.
Jobs with competitive pay and room for advancement are available in the US and Canada in the technology, finance, healthcare, retail, manufacturing, and government sectors.
