Data Analyst

Master the Skills to Analyze and Interpret Data for Strategic Decision-Making

Course Overview:

In the Data Analyst course, you’ll dive deep into the world of data analysis, learning how to collect, process, and interpret vast amounts of data to uncover valuable insights. This course is designed to equip you with the skills needed to excel in a data-driven environment, using various tools and techniques to turn raw data into actionable information.

 

Instructor: Jane Doe

Jane Doe is a seasoned data scientist with over 10 years of experience in the field. She holds a Ph.D. in Data Science and has worked with top tech companies to leverage data for strategic growth. Jane is passionate about teaching and has helped numerous students transition into successful data analytics careers.

Course Content:

• Introduction to Data Analysis

  • What is Data Analysis?
  • The role of a Data Analyst
  • Overview of data types and sources

• Data Collection and Cleaning

  • Methods of data collection
  • Data cleaning techniques
  • Handling missing and inconsistent data

• Exploratory Data Analysis (EDA)

  • Descriptive statistics
  • Data visualization techniques
  • Identifying trends and patterns

• Statistical Analysis

  • Probability and distributions
  • Hypothesis testing
  • Regression analysis

• Data Visualization

  • Principles of effective data visualization
  • Tools for creating visualizations (Excel, Tableau, Power BI)
  • Building dashboards and interactive reports

• Tools for Data Analysis

  • Introduction to SQL for data querying
  • Using Python for data analysis (Pandas, NumPy)
  • Introduction to R programming for statistical analysis

• Real-World Data Analysis Projects

  • Hands-on projects and case studies
  • Applying techniques to real datasets
  • Presenting findings and recommendations

• Final Assessment and Certification

  • Comprehensive final project
  • Certification upon successful completion

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