Data Analyst Bootcamp

Data Analyst Bootcamp

Categories: Expert Data Analyst
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About Course

Are you ready to unlock the power of data and propel your career to new heights? Synesis Digital is proud to present the Data Analyst Bootcamp – an intensive, hands-on training program designed to transform you into a data-savvy professional. Whether you’re looking to start a career in data analysis or enhance your existing skill set, this bootcamp offers the perfect blend of theory and practice to help you succeed.

Why Choose the Synesis Digital Data Analyst Bootcamp?

  • Comprehensive Curriculum: Our bootcamp covers everything from the basics of data analysis to advanced topics such as data visualization, statistical modeling, and predictive analytics. You’ll gain expertise in industry-standard tools like Excel, SQL, Python, and Tableau.
  • Hands-On Learning: Theory meets practice in our project-based approach. Work on real-world datasets and solve complex business problems to build a strong portfolio that showcases your skills to potential employers.
  • Expert Instructors: Learn from industry veterans with years of experience in data analysis. Our instructors are committed to providing personalized guidance to ensure your success.
  • Career Support: From resume building to mock interviews, we provide end-to-end career services to prepare you for landing your dream job in data analysis.
  • Flexible Learning Options: Whether you prefer an in-person experience or an online format, we’ve got you covered. Our bootcamp is designed to fit seamlessly into your schedule.
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What Will You Learn?

  • Data Fundamentals: Understand the basics of data collection, cleaning, and transformation.
  • Data Visualization: Create compelling dashboards and visualizations using tools like Tableau and Power BI.
  • Programming for Analysis: Master Python and SQL for data manipulation and analysis.
  • Statistical Analysis: Apply statistical methods to derive actionable insights.
  • Predictive Analytics: Learn to use machine learning techniques for forecasting and predictions.

Course Content

Module 1: Introduction to Data Analytics and Key Concepts

  • Understanding the Role of a Data Analyst
  • Overview of the Data Analytics Lifecycle
  • Types of Data: Structured, Semi-Structured, and Unstructured
  • Key Metrics and KPIs in Business Analytics
  • Introduction to Data-Driven Decision Making

Module 2: Excel for Data Analysis

Module 3: SQL for Data Analysis – Basics

Module 4: SQL for Data Analysis – Advanced

Module 5: Python Essentials for Data Analysis – Basics

Module 6: Python Essentials for Data Analysis – Advanced

Module 7: Data Visualization with Tableau – Basics

Module 8: Data Visualization with Tableau – Advanced

Module 9: Data Visualization with Power BI – Basics

Module 10: Data Visualization with Power BI – Advanced

Module 11: Data Cleaning and Preprocessing

Module 12: Business Analytics and Reporting

Module 13: Introduction to Statistics for Data Analysis

Module 14: Introduction to Data Wrangling and Big Data Basics

Module 15: Capstone Project – Data Analysis and Visualization

Module 16: Career Preparation for Data Analysts

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