Overview
With businesses relying on data to drive their decision-making, the need for professionals with analytics skills only continues to grow. This data analytics course provides an immersive learning experience with training on essential tools for the analysis process, including Excel, SQL, Tableau, and Python. Throughout your data analytics training, you will learn how to work with structured data, create visualizations from your findings, and build predictive models to help solve problems.
You will leave this data and business analytics course with portfolio-ready projects that demonstrate your real-world abilities. The course exercises and capstone project provide experience that translates directly to entry-level roles in data and business analytics. Upon completion, you will be prepared to pursue careers as data or business analyst or even pursue more training, such as sitting for certification exams in Excel or Tableau.
You will leave this data and business analytics course with portfolio-ready projects that demonstrate your real-world abilities. The course exercises and capstone project provide experience that translates directly to entry-level roles in data and business analytics. Upon completion, you will be prepared to pursue careers as data or business analyst or even pursue more training, such as sitting for certification exams in Excel or Tableau.
- Voucher Included: Yes
- Course ID: GES3128
- Total Hours: 240
- Format: Asynchronous/Self-Paced
- Location: Online
- Schedule: 9 Months
- Credit(s) Earned: 24 CEU
- Instructor: Ed2go
- Cost: $4,725.00
- Category: Data Analytics
Prerequisites:
Basic computer proficiency is required. No prior experience in analytics or programming is necessary.
Requirements:
Hardware Requirements:
This course can be taken on either a PC or Mac. Chromebooks are not compatible.
Software Requirements:
PC: Windows 10 or later.
Mac: macOS 12 or later.
Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.
DBeaver
Software must be installed and fully operational before the course begins.
Other:
Email capabilities and access to a personal email account.
Instructional Material Requirements:
The instructional materials required for this course are included in enrollment and will be available online.
What You Will Learn
Understand major data analytics principles, from data collection and cleansing to analysis and reporting
Learn to use popular data analytics tools like Microsoft Excel and SQL for simplified database management, with instruction on SQL data management and advanced Excel functions like Pivot Tables and macros
Leverage standard data analytics tools like Python and Tableau
Learn to build, maintain and optimize machine learning models to streamline your analytics process through the automation of time-consuming tasks
Review advanced data analysis methods like regression analysis, forecasting, and prescriptive analysis to interpret trends within datasets
Program Outcomes
Walk away with a solid understanding of the data analytics process from start to finish
Learn how to find, sort, and organize data using several industry-standard tools as well as optimize workflows when handling larger datasets
Practice various kinds of analytics and become familiar with more advanced concepts like automating tasks through machine learning models
Become more astute problem solvers within the data analytics field and gain a real-world approach that prepares you for the field
