Data Science & Business Analytics - Skill Up Plus Package
1.350,00 EUR
- 600 hours
Turn Data Into Smarter Decisions, Stronger Strategies, and Measurable Business Impact The Data Science & Business Analytics Skill Up Plus Package provides a comprehensive learning journey for professionals who want to transform data into actionable insights and business value. Combining business analysis, data analytics, business intelligence, data visualization, SQL, Python, statistics, machine learning, and modern data platforms, this package covers the skills needed to work confidently across today's data-driven business environment.
About the package
This package combines 1 intensive bootcamp, 6 live class, 6 learning paths, and 80+ eLearning courses to build practical expertise in Power BI, Microsoft Fabric, Tableau, SQL, PostgreSQL, Python, Apache Spark, PySpark, Power Query, DAX, statistics, data visualization, forecasting, and data science. The package also introduces advanced areas such as deep learning, NLP, big-data analytics, and data engineering.
Whether you're starting your analytics career, preparing for a professional certification, transitioning into data science, or looking to strengthen your organization's data capabilities, this package provides flexible learning pathways from foundational concepts to advanced analytical techniques. From spreadsheets and dashboards to Python, SQL, cloud-scale analytics, and data science, develop the skills to turn complex data into clear, confident decisions.
Instead of only learning 3-5 courses, why not have everything you need under our Data Science & Business Analytics Skill Up Plus course catalog? Learn more, save up more!
Key Features
Course and material in English
Beginner - Advanced level for aspiring professional
1 year learning platform access & class recordings
350+ hours eLearning content
300+ live class hours
Self-assign live class cohorts and courses
Dynamic and auto-update future courses
Practice projects, virtual labs and assessment included
Certification for each course completion
Exam voucher not included
Learning Outcomes
At the end of this Bootcamp, you will be able to:
Analyze business data
to identify trends, patterns, opportunities, and insights that support informed decision-making
Build professional business intelligence solutions
using Power BI, Tableau, Excel, and Microsoft Fabric.
Create interactive dashboards
and data visualizations that communicate complex information clearly to technical and non-technical stakeholders.
Apply SQL and PostgreSQL
to query, transform, aggregate, join, and analyze structured datasets.
Use Python and R for data analytics
including data manipulation, exploration, analysis, and visualization.
Prepare and transform data
using tools and techniques such as Power Query, data cleaning, data validation, and data transformation
Develop advanced Power BI capabilities
using DAX, data modeling, performance optimization, security, governance, and advanced reporting techniques.
Apply statistical and mathematical techniques
to support data analysis, forecasting, predictive modeling, and data-driven decision-making.
Work with modern data engineering
and big-data technologies, including Apache Spark and PySpark, to process and analyze larger datasets.
Apply data science and advanced analytics concepts
including time-series forecasting, machine learning, deep learning, and NLP, to solve increasingly complex business problems.
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SQL Training
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6 Learning Paths
90+ eLearning
Topics
- Power Automate - The Complete Automation Journey (Beginner to Pro)
- Mastering Data Analytics with Microsoft Fabric and Power BI
- End-to-End Web Data Extraction with Python - Requests, Scrapy, and Selenium
- Power BI Foundations and Data Discovery
- Mastering Power BI: Data Modeling, DAX Calculations, Performance Optimization, and Data Visualization
- Power BI in Microsoft Fabric – Advanced Concepts and Workflow Optimization
- Advanced Power BI - Security, Governance and Performance
- Data Preparation and Reporting with Power BI in Microsoft Fabric
- Microsoft Fabric: Fundamentals and Power BI Workflow
- DAX in Power BI
- Power BI- Data Modeling and Data Analysis Expressions (DAX)
- Power BI Visuals and Report Design
- Getting Started with Microsoft Fabric and Power BI Fundamentals
- Sales Dashboard in Microsoft Power BI
- Advanced SQL
- PostgreSQL: Become an SQL Developer
- Mastering PostgreSQL Aggregates, Grouping and Joins
- SQL Fundamentals and Data Operations in PostgreSQL
- Subquery in SQL
- Apache Spark 3 for Data Engineering and Analytics with Python
- Introduction to PySpark for Beginners
- Python for Data Science by IBM
- Python Libraries for Data Science
- Data Analytics with Python
- Data Science - Time Series Forecasting with Facebook Prophet in Python
- Python for Finance: Investment Fundamentals and Data Analytics
- Data Structures Using Python
- Python Data Foundations - Mastering Built-in Collections
- Become a Data Scientist: Statistics for Data Science
- Statistics Essentials for Data Science
- Mathematics and Statistics Essentials
- Linear Algebra for Data Science and Machine Learning
- Deep Learning & NLP
- Deep Learning Frameworks
- Business Intelligence Tool - Tableau
- Dashboard and Projects in Tableau
- Data Visualization - Tableau
- Data Analytics with Tableau Calculation
- Tableau Data Visualization Basics Tutorial
- Data Scraping and Data Mining from Beginner to Pro with Python
- Advanced Web Scraping & Automation with Selenium and Real Projects
- Mastering Business Analyst Techniques
And many more..
Progression:
Excel → SQL → Power BI/Tableau → Python → Statistics → Data Science → Big Data & Advanced Analytics
Who Should Enroll in this Program?
Business & Data Analysts: Professionals who want to strengthen their skills in data analysis, reporting, business intelligence, and data-driven decision-making.
Business Intelligence Professionals: BI analysts and developers looking to advance their expertise in Power BI, Tableau, DAX, Microsoft Fabric, dashboards, and data visualization.
Aspiring Data Scientists & Data Engineers: Learners seeking practical experience in Python, SQL, statistics, data science, Spark, PySpark, and modern data processing.
Business Leaders & Decision Makers: Managers and business professionals who want to use data, analytics, and visualization to improve strategic planning and business performance.
Prerequisites
There are no universal prerequisites for the package because it includes learning paths ranging from beginner to advanced levels.
Learners can start with foundational courses such as Data Analytics Basics, Introduction to Data Science, Introduction to Data Analytics, Fundamentals of Microsoft Excel, SQL fundamentals, or Python foundations before progressing to more advanced topics.
For intermediate and advanced courses, learners may benefit from:
- Basic computer and spreadsheet skills
- Familiarity with basic mathematics and statistics
- Basic understanding of databases and data concepts
- Previous experience with Excel, SQL, Python, R, Power BI, or Tableau, depending on the selected course
- Basic programming knowledge for advanced Python, Spark, or data science courses
Specific certification programs may have their own recommended prerequisites or experience requirements.
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FAQ
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