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Course content

About Business Analytics with Python Program in Berlin

  • Introduction to Business Analytics
  • Python for Data Analysis
  • Data Preparation and Cleaning
  • Exploratory Data Analysis (EDA)
  • Statistical Analysis
  • Predictive Modeling
  • Advanced Topics
  • Case Studies and Applications
  • Summary and Best Practices
  • Tools and Resources
  • Introduction to Tableau
  • Tableau Interface and Basic Features
  • Connecting to Data Sources
  • Data Preparation and Transformation in Tableau
  • Building Basic Visualizations
  • Creating Interactive Dashboards
  • Advanced Visualization Techniques
  • Data Analysis and Calculations
  • Dashboard Design Best Practices
  • Sharing and Publishing Tableau Reports
  • Introduction to SQL Developer
  • SQL Developer Interface and Navigation
  • Connecting to Databases
  • Writing Basic SQL Queries
  • Data Retrieval and Filtering
  • Data Manipulation (INSERT, UPDATE, DELETE)
  • Creating and Managing Database Objects (Tables, Views, Indexes)
  • Advanced SQL Queries (JOINs, Subqueries, Aggregations)
  • PL/SQL Basics (Stored Procedures, Functions, Triggers)
  • Performance Tuning and Optimization
  • Backup and Restore Operations
  • Introduction to Power BI
  • Power BI Interface and Components
  • Connecting to Data Sources
  • Data Preparation and Transformation in Power BI
  • Building Reports and Visualizations
  • Creating Interactive Dashboards
  • Advanced Data Modeling
  • Using DAX (Data Analysis Expressions)
  • Custom Visuals and Report Design
  • Sharing and Publishing Power BI Reports
  • Power BI Service and Collaboration
  • Introduction to Advanced Excel
  • Advanced Formulas and Functions
  • Data Analysis Tools (PivotTables, PivotCharts)
  • Data Validation and Conditional Formatting
  • Advanced Charting Techniques
  • Working with External Data (Importing, Linking)
  • Power Query for Data Transformation
  • Power Pivot for Data Modeling
  • Macros and VBA for Automation
  • Introduction to Business Analysis
  • Understanding Business Strategy
  • Role of Business Analysis in Strategic Planning
  • Aligning Business Analysis with Organizational Goals
  • Stakeholder Analysis and Management
  • Requirement Gathering and Documentation
  • Business Process Modeling and Improvement
  • Strategic Decision-Making Techniques
  • Measuring and Evaluating Business Performance
  • Case Studies and Real-World Applications
  • Introduction to Stakeholder Management
  • Identifying Stakeholders
  • Stakeholder Analysis Techniques
  • Understanding Stakeholder Needs and Expectations
  • Stakeholder Mapping and Prioritization
  • Communication Strategies for Stakeholder Engagement
  • Managing Stakeholder Relationships
  • Conflict Resolution and Negotiation
  • Introduction to Current State Analysis
  • Understanding the Current State vs. Desired State
  • Methods for Assessing the Current State
  • Data Collection Techniques (Interviews, Surveys, Observations)
  • Business Process Mapping and Documentation
  • SWOT Analysis (Strengths, Weaknesses, Opportunities, Threats)
  • Gap Analysis and Identifying Areas for Improvement
  • Stakeholder Feedback and Involvement
  • Analyzing Business Performance Metrics
  • Introduction to Target State Definition
  • Understanding the Target State Concept
  • Aligning the Target State with Business Objectives
  • Methods for Defining the Target State
  • Setting Goals and Objectives
  • Developing Business Requirements and Specifications
  • Creating a Vision for Change
  • Designing Solutions and Proposals
  • Validating and Refining the Target State
  • Introduction to Solution Design
  • Understanding Solution Requirements
  • Developing Solution Design Specifications
  • Designing Business Processes and Workflows
  • Creating Functional and Non-Functional Requirements
  • Prototyping and Wireframing
  • Evaluating Design Alternatives
  • Developing Technical Specifications
  • Integration with Existing Systems
  • Solution Validation and Testing
  • Documenting and Presenting the Solution Design
  • Purpose and Importance of a Business Case
  • Identifying the Problem or Opportunity
  • Defining Objectives and Scope
  • Conducting a Feasibility Study
  • Analyzing Costs and Benefits
  • Risk Assessment and Management
  • Developing Implementation Plans and Timelines
  • Creating Financial Projections and ROI Analysis
  • Writing and Presenting the Business Case
  • Reviewing and Refining the Business Case
  • Introduction to Business Communication
  • Types of Business Communication (Internal, External)
  • Effective Communication Skills (Listening, Speaking, Writing)
  • Communication Channels and Tools
  • Crafting Clear and Concise Messages
  • Professional Email and Report Writing
  • Presentation Skills and Public Speaking
  • Non-Verbal Communication (Body Language, Tone)
  • Communication in Meetings and Negotiations
  • Managing Cross-Cultural Communication
  • Conflict Resolution and Problem-Solving
  • Feedback Mechanisms and Communication Improvement
  • Understanding the Interview Process
  • Research and Preparation
  • Resume and Application Review
  • Common Interview Questions
  • Technical Preparation
  • Mock Interviews and Practice
  • Interview Logistics
  • Professional Presentation
  • Questions to Ask the Interviewer
  • Structuring Your Presentation
  • Crafting a Clear Message
  • Data Visualization Techniques
  • Effective Use of Charts and Graphs
  • Telling a Data-Driven Story
  • Engaging Your Audience
  • Using Presentation Tools
  • Handling Questions and Feedback
  • Best Practices for Delivery and Communication
  • Understanding Resume Formats
  • Crafting a Strong Summary Statement
  • Highlighting Key Skills and Competencies
  • Detailing Work Experience and Achievements
  • Emphasizing Education and Certifications
  • Incorporating Keywords and Action Verbs
  • Tailoring the Resume to the Job Description
  • Formatting and Design Best Practices
  • Proofreading and Editing
  • Common Resume Mistakes to Avoid
  • Why Should You Learn Business Analytics with Python Program in Berlin Training?

    The annual salary of an Business Analytics with Python Program in Berlin is $125k.

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    TRAINING FEATURES

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    Instructor-led Sessions

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    Real-life Case Studies

    Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.

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    Assignment

    Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.

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    Lifetime Access

    Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.

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    24 x 7 Expert Support

    With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.

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    Certification

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    Program Core Credentials

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    Track Week Days Course Duration Fast Track
    Week Days 40-45 Days 2 Hrs. Per Day Online
    Course Duration 7 Weekends 3 Hrs. Per Day Online
    Fast Track 8 Days 6+ Hrs. Per Day Online

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    Students Reviews

    Read genuine student reviews on ZebLearn’s expert-led SAP training and foreign language courses. Hear success stories from learners who gained certifications, skills, and career growth!

    Arjun Verma
    Operations Analyst
    The Business Analytics with Python course was exceptional in covering data analysis techniques and optimization. The Python skills I acquired have greatly enhanced my ability to streamline operational processes.
    Raman Raj
    Data Scientist
    Zeblearnindia’s Business Analytics with Python course was instrumental in honing my data analysis skills. The courses practical approach and in-depth coverage of Python for business analytics have significantly enhanced my data-driven decision-making.
    Rohan Gupta
    Product Data Analyst
    The course was excellent in teaching how to use Python for product analytics. The insights and techniques learned have helped me analyze product performance and make data-driven decisions effectively.
    Aisha Khan
    Market Research Analyst
    The Python course for business analytics provided by Zeblearnindia was thorough and engaging. It equipped me with the tools to perform complex market analysis and build predictive models efficiently.
    Ananya Roy
    E-commerce Data Analyst
    The training provided by Zeblearnindia was highly practical and relevant. The course enabled me to use Python for advanced analytics and customer behavior modeling in the e-commerce domain.
    Amit Patel
    Business Analyst
    The Business Analytics with Python program at ZebLearnIndia was incredibly insightful. The course seamlessly integrated Python programming with business analytics, providing me with the tools to analyze and visualize business data effectively. The hands-on exercises and real-world applications were particularly valuable.
    Rajiv Menon
    Data Engineering Consultant
    Zeblearnindia’s course provided a comprehensive understanding of using Python for data engineering tasks. The knowledge gained has been crucial in developing robust data pipelines and analytics solutions.
    Ravi Kumar
    Marketing Analyst
    The Business Analytics with Python program at ZebLearnIndia was a game-changer for my career. The combination of Python with business analytics taught me how to leverage data for strategic decision-making. The structured content and interactive sessions were extremely beneficial.
    Kriti Sharma
    Sales Operations Specialist
    The Python training was fantastic for analyzing sales data and trends. The skills learned have enhanced my ability to build sales forecasts and generate detailed performance reports.
    Meera Patel
    Healthcare Data Scientist
    Zeblearnindia’s course offered valuable insights into using Python for healthcare data analysis. The training has improved my ability to analyze clinical data and generate actionable insights for better healthcare outcomes.
    Arjun Verma
    Operations Analyst
    The Business Analytics with Python course was exceptional in covering data analysis techniques and optimization. The Python skills I acquired have greatly enhanced my ability to streamline operational processes.
    Raman Raj
    Data Scientist
    Zeblearnindia’s Business Analytics with Python course was instrumental in honing my data analysis skills. The courses practical approach and in-depth coverage of Python for business analytics have significantly enhanced my data-driven decision-making.
    Rohan Gupta
    Product Data Analyst
    The course was excellent in teaching how to use Python for product analytics. The insights and techniques learned have helped me analyze product performance and make data-driven decisions effectively.
    Aisha Khan
    Market Research Analyst
    The Python course for business analytics provided by Zeblearnindia was thorough and engaging. It equipped me with the tools to perform complex market analysis and build predictive models efficiently.

    Business Analytics with Python Program in Berlin - Flexible batches for you

    Date Type Schedule Time
    SOLD OUT 16 May 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 21 May 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    26 May 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

    Enroll Now, Pay Later

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