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Data Analytics Bootcamp

Learn the tools, build the skills, and launch your data career.

In just two months, master Excel, Power BI, SQL, and Python—and get job-ready for opportunities in data analytics, both locally and globally.

Fee: PKR 20,000 | Monthly

Fee: PKR 35,000 | Lumpsum

Eligibility criteria

  • Beginner-Friendly
  • No prior experience in Data Analytics is required.
  • Currently enrolled in or have graduated with a Bachelor’s degree in any subject.
  • A Course By Prof. Arland

    Data Analytics Bootcamp

    We train people from

    Course Curriculum

    Module 1: Data Literacy
    • Introduction to Data Literacy and Data?
    • Definition and Characteristics of Data
    • Types of Data: Structured, Unstructured, Semi-Structured
    • Examples of Data in Various Contexts (e.g., Business, Healthcare, Education)
    • Data Collection and Sources
    • Methods of Data Collection: Surveys, Interviews, Observations, Sensors, etc.
    • Primary vs. Secondary Data Sources
    • Understanding Bias and Reliability in Data Collection
    • Data Representation Techniques
    • Introduction to Data Visualization
    • Principles of Effective Data Visualization
    • Types of Charts and Graphs: Bar Charts, Line Graphs, Pie Charts, Scatterplots
    • Choosing the Right Visualization for Different Types of Data
    • Introduction to Data Analysis
    • Overview of Data Analysis Process
    • Descriptive vs. Inferential Statistics
    • Key Statistical Measures: Mean, Median, Mode, Standard Deviation, Range
    • Introduction to Excel for Data Analysis
    • Basics of Excel: Data Entry, Formulas, Functions
    • Sorting and Filtering Data
    • Introduction to PivotTables for Data Summarization and Analysis
    • Data Ethics and Privacy
    • Understanding Data Privacy and Security
    • Ethical Considerations in Data Collection, Analysis, and Sharing
    • Real-world Applications of Data Literacy
    • Case Studies: Examples of Data Literacy in Different Industries (e.g., Marketing, Healthcare, Education)
    Module 2: Data Communication
    • Introduction to Data Communication
    • Importance of effective data communication in decision-making.
    • Understanding Data Interpretation
    • Identifying trends, patterns, outliers, and correlations in data.
    • Explaining the significance of findings to stakeholders.
    • Storytelling with Data
    • Emphasizing the importance of narrative structure in data communication.
    • Structuring presentations or reports in a narrative format.
    • Data Narrative Techniques
    • Crafting compelling data narratives using anecdotes, case studies, and real-world examples.
    • Data Communication Best Practices
    • Avoiding jargon and using plain language to communicate effectively.
    • Providing context to help stakeholders understand the significance of the data.
    • Data Presentation Skills
    • Public speaking tips for delivering presentations confidently.
    • Slide design principles for creating visually appealing presentations.
    • Data Storyboarding
    • Introduction to storyboarding as a planning tool for data presentations.
    • Creating a visual roadmap for organizing key points in a presentation.
    • Feedback and Iteration
    • Importance of seeking feedback from stakeholders.
    • Incorporating feedback into data communication efforts for continuous improvement.
    Module 3: Introduction to Data Analysis using Excel Foundation
    • Introduction to Data Communication
    • Importance of effective data communication in decision-making.
    • Understanding Data Interpretation
    • Identifying trends, patterns, outliers, and correlations in data.
    • Explaining the significance of findings to stakeholders.
    • Storytelling with Data
    • Emphasizing the importance of narrative structure in data communication.
    • Structuring presentations or reports in a narrative format.
    • Data Narrative Techniques
    • Crafting compelling data narratives using anecdotes, case studies, and real-world examples.
    • Data Communication Best Practices
    • Avoiding jargon and using plain language to communicate effectively.
    • Providing context to help stakeholders understand the significance of the data.
    • Data Presentation Skills
    • Public speaking tips for delivering presentations confidently.
    • Slide design principles for creating visually appealing presentations.
    • Data Storyboarding
    • Introduction to storyboarding as a planning tool for data presentations.
    • Creating a visual roadmap for organizing key points in a presentation.
    • Feedback and Iteration
    • Importance of seeking feedback from stakeholders.
    • Incorporating feedback into data communication efforts for continuous improvement.

    Complete our Bootcamp and Become Job Ready

    Veda Batool
    Veda BatoolData Science Trainee
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    Veda Batool
    Veda BatoolData Science Trainee
    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
    Veda Batool
    Veda BatoolData Science Trainee
    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

    Meet Our Incredible Trainers

    Prof. Arland

    Prof. Arland

    Prof. Arland

    Earn a Verified Certificate of
    Completion

    Earn a data analytics certificate, verifying your skills. Step into the market with a proven and trusted skillset.

    Frequently Asked Questions

    Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast

    Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast

    Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast

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