Professional Data Analysis Training: From Basics to Advanced

Unlock Your Data Potential: From Foundational Skills to Advanced Techniques

Our Professional Data Analysis Training Course equips you with essential skills to excel in the world of data analytics. Starting with foundational concepts, you’ll dive deep into advanced data analysis techniques, learning to extract valuable insights from complex datasets.

Master popular tools like Excel, Python, and SQL, and gain hands-on experience with real-world projects. Whether you’re a beginner or looking to enhance your expertise, this course provides a complete learning journey from basics to advanced. Unlock career opportunities in data analysis, business intelligence, and data science with our comprehensive, job-ready curriculum.

Learning Outcome for data analysis bootcam at digitalbyte academy

  • Master Data Analysis Fundamentls

    Understand key concepts, methods, and tools for effective data analysis, starting from the basics.

  • Hands-On Proficiency in Data Tools

    Gain expertise in using popular tools like Excel, Python, SQL, and Power BI for data manipulation, visualization, and reporting.

  • Build Professional Reports and Dashboards

    Create interactive dashboards and comprehensive reports to communicate findings effectively.

  • Work on Real-World Projects:

    Apply your skills to industry-relevant projects that simulate actual data challenges, preparing you for the job market.

  • Job-Ready Skills for Data Careers:

    Become proficient in data analysis to pursue roles like Data Analyst, Business Analyst, or Data Scientist.

What will you learn in this course at digitalbyte academy

  • Understanding SQL and Its Role in Data Analysis
  • Learn how to use Excel for data cleaning, sorting, and analyzing formulas, Pivot tables, and Visualization.
  • Master Python libraries like Pandas, NumPy, and Matplotlib for data Manipulation and Visualization.
  • Create interactive and meaningful visualizations using tools like PowerBI and Tableau.
  • Dive into advanced topics like predictive modeling, regression analysis, and hypothesis testing.
  • Apply your skills to hands-on projects to build your portfolio.

Course Content

Introduction to Data Analysis

  • Overview of Data Analysis and its importance
  • Understanding Data Collection, Sampling, and Data Quality

Excel for Data Analysis

  • Basic of Excel
  • Advance Excel Functions
  • Povit Tables and charts for Data Visualization
  • Conditional Formatting and Data Validation

Python for Data Analysis

  • Introduction to Python Programming for Data Analysis
  • Working with Python Libraries: Pandas, NumPy, and matplotlib
  • Data Visualization and Plotting Graphs with Matplotlib and Seaborn

SQL for Data Managmenet

  • SQL Basics: Writing Queries to Retrieve Data
  • Filtering, Sorting, and Joining Data in SQL
  • Data Aggregation and Grouping for Analysis
  • Managing Databases and Data Extraction Techniques

Data Visualization Techniques

  • Introduction to Data Visualization Concepts
  • Visualizing Data with Power BI and Tableau
  • Creating Interactive Dashboards and ReportsBest Practices for Data Storytelling and Presentation

Machine Learning for Data Analysis

  • Overview of Machine Learning Algorithms
  • Supervised vs. Unsupervised Learning
  • Implementing Linear Regression, Decision Trees, and K-Means Clustering
  • Model Evaluation and Optimization Techniques

Real-World Data Projects

  • Hands-On Projects Using Real-World Datasets
  • Solving Business Problems with Data-Driven Solutions
  • Analyzing Industry-Specific Data (Finance, Marketing, Healthcare, etc.)
  • Building a Data Analysis Portfolio

Job Preparation and Career Guidance

  • Resume Building for Data Analysis Roles
  • Portfolio Development and Presentation
  • Interview Preparation and Industry Insights
  • Certifications and Career Pathways in Data Analysis

Requirements to Join this course

  • MySQL Workbench, Excel, and Tableau can be downloaded on a Windows or Mac computer/laptop for free, however, Power BI will require a Windows laptop or computer.
  • No prior experience is required, only curiosity and eagerness to learn – Data Analysis requires a curious mindset and a willingness to explore and experiment with data.
  • An understanding of basic mathematical concepts such as arithmetic operations, percentages and averages would be helpful.
  • Ability to run SQL Server on your computer or laptop.

Learning Mode

  • Online
  • Offline
  • Weekdays / Weekends

What is the Target Audience?

  • Recent graduates, MBA/MCA/BCA/B.Tech/Diploma holders
  • Past experience from back home
  • New Canadians
  • Working in retail/banking/sales/marketing/HR/accounting/technician jobs
  • Looking to change career from a non-technical background
  • Long career gaps
  • Currently on maternity leave or EI
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