What Do You Want To Learn?
Ready to dive deeper into your data? Take a class at The Computer Workshop. We offer instructor-led courses in our Columbus classrooms or sign up for virtual instruction. Inquire about:
- Certification preparation
- Courses that are eligible for College credit
- Redemption of Microsoft Training Vouchers
Click below for more information on these upcoming classes:
Data Visualization
Comfortable with Excel and looking to further develop your skills? There are many options for next-level courses, each varies based on the individual's job function. We've outlined a path to help students navigate our intermediary and advanced data analytics courses.
Whether you're a current data analyst, an Excel pro ready to grow, or a business professional looking to harness data for smarter decisions, TCW's Data Analytics Learning Pathway will guide you through a comprehensive, hands-on journey into the world of modern data analysis.
Our pathway goes beyond spreadsheets to help you explore, shape, visualize, and communicate data using powerful tools and in-demand techniques. You’ll gain skills that organizations are actively hiring for—all while learning at your own pace with courses that fit your schedule.
What You Will Learn
Understand foundational data management and exploratory data analysis
Learn Python basics essential for wrangling data, debugging, and problem-solving
Improve data quality through measurements, transformation processes, and monitoring
Use frameworks to turn raw data into actionable insights
Practice asking the right questions and defining project requirements
Apply a product mindset to analytics initiatives
Scope data projects that enhance business strategy and outcomes
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Get Career-Ready in Data Analytics
Gain practical skills for real-world data careers. Here are a few roles this pathway supports:
Average Salary: $80,445/year*
*National average. Actual salary depends on role, experience, and location.
Courses in the Pathway
(Prerequisites: Excel Level 1 & 2)
Excel Data Analysis – 1 Day – $289
Clean, model, and extract insights using advanced Excel tools, functions, and relationships.
DEBIZ: Data Ethics for Business Professionals – 1 Day – $349
Explore the ethical implications of AI and data science and how to align technology with human values.
Querying Data with Microsoft Transact-SQL – 2 Days – $1,159
Learn how to query and modify data using SQL across Microsoft database platforms.
Storytelling with Data – 1 Day – $399
Master the fundamentals of data visualization and learn to communicate your insights clearly.
Storytelling with Data 2: Renegades in Excel – 1 Day – $399
Level up your visualization skills with advanced Excel charting, dashboards, and narrative techniques.
Microsoft Power BI Data Analyst – 3 Days – $1,739
Ingest, model, and visualize data using Power BI—build interactive reports and dashboards.
Introduction to Programming – 2 Days – $2,000
Get a strong foundation in programming logic, decision-making, and modular design.
Data Wrangling with Python – 3 Days – $1,799
Work with real-world datasets, learn Python, and use tools like Pandas and NumPy for data transformation.
Cloud Essentials – 2 Days – $999
Understand cloud computing and its impact on data management and business solutions.
AI-900T00: Microsoft Azure AI Fundamentals – 1 Day – $579
Explore how AI workloads are powered by cloud services and gain foundational AI knowledge using Azure.
Why Choose TCW for Your Data Journey?
Flexible course scheduling to fit your life and work
Learn from expert instructors with real-world experience
Build a resume-ready skill set backed by practical, project-based learning
Explore multiple tools and technologies across the analytics landscape
Ready to Begin?
Start with Excel. Grow into Python, Power BI, and beyond. Whether you're starting fresh or aiming for a promotion, the Data Analytics Learning Pathway helps you build the skills that move your career forward.
Select Your First Course & Enroll Now!
Data Analytics PathwayWhy Python for Data Analysis: Unlocking the Power of Data
By Becky Anzalone
In today's world, data is the new gold. Organizations across industries rely on data to make informed decisions, predict trends, and gain competitive advantages. However, the real magic happens when you can efficiently analyze this data. Enter Python – the powerhouse language for data analysis. Let's explore why Python is the go-to tool for data analysts and how you can get started on this exciting journey.
The Unmatched Power of Python
Python has gained immense popularity in the data science community, and for good reasons:
Simplicity and Readability
Python's syntax is easy to understand, making it accessible to beginners and experts alike. Unlike other programming languages that can be cumbersome, Python allows you to write clear and concise code, making it easier to maintain and debug.
Extensive Libraries and Tools
Python boasts a rich ecosystem of libraries specifically designed for data analysis:
- NumPy: Provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.
- Pandas: Offers data structures and data analysis tools that are powerful and flexible. Pandas make it easy to manipulate and analyze data from various sources.
- Matplotlib and Seaborn: These libraries are essential for creating stunning visualizations. They allow you to generate a wide range of static, animated, and interactive plots.
- SciPy: Builds on NumPy and provides additional tools for scientific and technical computing.
- Scikit-learn: A robust machine learning library that simplifies the process of building and deploying models.
Community Support and ResourcesPython has a vibrant and active community. This means you have access to an abundance of tutorials, forums, and documentation. Whether you're troubleshooting an issue or seeking best practices, the Python community is always there to help.
VersatilityPython isn't just for data analysis. It's a general-purpose language that you can use for web development, automation, scientific computing, and more. This versatility makes it a valuable skill in any programmer's toolkit.
Integration CapabilitiesPython seamlessly integrates with other tools and technologies. Whether you're pulling data from databases, scraping it from the web, or importing it from Excel files, Python can handle it all. This makes it incredibly efficient for data extraction, transformation, and loading (ETL) processes.
Real-World Applications of Python in Data Analysis
Python's capabilities shine in various real-world applications:
- Financial Analysis: Python helps financial analysts make data-driven decisions from risk management to algorithmic trading.
- Healthcare: Python is used to analyze patient data, predict outbreaks, and personalize treatment plans.
- Retail: Retailers use Python to analyze customer behavior, manage inventory, and optimize pricing strategies.
- Marketing: Python helps marketers segment audiences, track campaign performance, and predict customer lifetime value.
Getting Started with Python for Data Analysis
Ready to dive into the world of data analysis with Python? Our comprehensive courses and bootcamp are designed to equip you with the skills you need:
- Introduction to Python 3.x: This four-day course covers the basics of Python, from writing scripts to advanced features like file operations and regular expressions. It's a hands-on class that ensures you can apply your knowledge immediately.
- Intermediate Python 3.x: Build on your foundational skills with this course, which delves into more complex topics and enterprise development.
- Data Wrangling with Python: Learn how to clean and transform raw data into actionable insights using tools like NumPy and Pandas.
- Data Analytics Bootcamp: A comprehensive program that takes you from programming basics to advanced data analytics with Python. This bootcamp is perfect for those looking to make a career in data science.
Python is a game-changer in the field of data analysis. Its simplicity, powerful libraries, and strong community support make it the ideal choice for beginners and experienced analysts. Mastering Python opens the door to a world of possibilities and opportunities.
Don't wait to unlock the potential of data analysis with Python. Enroll in our courses today and take the first step towards becoming a data analysis expert. Your journey to harnessing the power of data starts here!
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