Business Analytics Training Program

Option: Fast-track (60 credits)
Sale price€2,997.00

Tax included

Business Analytics Training Program is a comprehensive training program to help anyone interested in pursuing a career in the Business Analytics industry develop career-relevant skills and expertise.

Business analytics helps companies iteratively explore and investigate historical data of business performance to drive business planning and achieve greater business value through superior insight. Due to the significant growth of the business analytics market, the demand for professionals skilled in this field has never been greater. Entering the world of business analytics requires an amalgam of experience, business analytics knowledge, and using the correct tools and technologies. It is a solid career choice for both new and experienced professionals with financial frames of mind. TechClass Business Analytics training program is a comprehensive online degree program tailored for business analytics job positions to prepare the students for the trending job opportunities in the industry.

Business Analytics Training Program learning path includes three options with a vast portfolio of practical courses. It will provide the students with a step-by-step guide towards learning the latest job-ready skills.

Learning outcomes

Data Analysis
Master the essential skills of data analysis using Python and Excel. Gain hands-on experience using Python for data inspection, exploratory data analysis, and statistical data analysis. Gain expertise in mathematical computing, data transformation, basic data modeling using popular Python libraries such as Pandas, NumPy, Scipy, and Scikit-learn. Master the must-have Excel skills for business intelligence, data transformation, exploration, and analysis.

Business and Operation Analysis

Master practical data-driven decision-making skills with the help of data analysis and statistics in Excel and Python. Learn the ins and outs of agile scrum methodology, business intelligence, and customer and operation analytics. Learn how optimization problems are constructed to solve business problems. Learn different aspects of understanding customer behavior and operation statistics. Learn how data can be used to profitably match supply with demand in various business settings.

Data Understanding

Learn how to use different analytics methodologies to extract knowledge and insights from data. Master the practical skills of statistical data analysis and modeling using Python to find trends in data and extract meaningful insights. Learn how to apply various operations to data to understand the data better. Learn the essential methods of customer data collection used by companies and understand how this data can inform business decisions.

Data Visualization

Become proficient in transforming results and information into graphical representations. Gain expertise in creating insightful visualizations using Matplotlib and Seaborn libraries in Python. Gain hands-on experience visualizing and presenting data and analysis results for insight extraction. Learn to analyze data, drive business intelligence solutions, and create interactive visualizations, reports, and dashboards using Tableau and Microsoft Power BI.


It is essential to understand each students' needs and provide a training package suitable for such demands. Students have three options to pick when they register in this program. Some want only to get familiar with the fundamental topics, some want to have more comprehensive knowledge, and others may wish to obtain ultimate and extensive skills and expertise.

  1. Fast-track (60 credits)
    Mandatory: 40 credits / Elective: 10 credits / Project : 5 credits / Job Preparation: 5 credits
    This option would be a suitable start to familiarize the students with the most fundamental topics. Throughout this program, students can make sure the area is interesting for them and obtain skills for entry-level jobs in the field.
  2. Professional (90 credits)
    Mandatory: 40 credits / Elective: 35 credits / Project : 10 credits / Job Preparation: 5 credits
    This option will start with the fundamental topics, then allow the students to select more elective subjects and extend their skills. The plan is to prepare the students for mid-level positions throughout this option.
  3. Masters (120 credits)
    Mandatory: 40 credits / Elective: 60 credits / Project : 15 credits / Job Preparation: 5 credits
    This option enables the students to have extensive and comprehensive skills and practical knowledge in the program's scope. Students may select various topics from the elective portfolio and even learn extended material.

Learning path

Stage 1: Introduction

  • Introduction to the program (0 credits)

Stage 2: Mandatory

  • SQL for Data Science (5 credits)
  • Fundamentals of Business Intelligence (5 credits)
  • Statistical Data Analysis with Python (10 credits)
  • Business Analytics (Power BI or Tableau) (15 credits)
  • Storytelling Through Data Visualization (5 credits)

Stage 3: Elective

  • Mathematics and Statistics Essentials (5 credits)
  • Programming Refresher (5 credits)
  • SQL for Data Science (5 credits)
  • Basic SQL in PostgreSQL (5 credits)
  • Scrum and Agile Methodology (10 credits)
  • Fundamentals of Business Intelligence (5 credits)
  • Customer Analytics (5 credits)
  • Operations Analytics (5 credits)
  • Marketing Analytics (5 credits)
  • Accounting Analytics (5 credits)
  • Excel (5 credits)
  • Business Analytics with Excel (10 credits)
  • Introduction to Python for Data Science (10 credits)
  • Statistical Data Analysis with Python (10 credits)
  • Predictive Modeling and Analytics with Python (10 credits)
  • Data-Driven Decision Making (5 credits)

Stage 4: Project

  • Final Project (5/10/15 credits)*

*Based on the program option. Fast-track: 5 credits / Professional: 10 credits / Masters: 15 credits.

Stage 5: Job Preparation

  • Job Preparation (5 credits)


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