Comprehensive Data Analysis: From Fundamentals to Advanced Techniques

By DataTech Careers Uncategorized
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About Course

This 10-week online data analysis course provides a comprehensive introduction to the fundamentals of data analysis and explores advanced techniques used in real-world scenarios. Through a combination of theoretical explanations, practical examples, and hands-on exercises, participants will develop a strong foundation in data analysis and gain the skills needed to extract actionable insights from various datasets.


By the end of this course, participants will have a solid understanding of data analysis techniques, the ability to apply them to various domains, and the confidence to use data-driven insights to make informed decisions.


Roles you can apply to as a Data Analyst

As a Data Analyst, you can apply for various roles within organizations that require data analysis and insights. Here are some common job titles and roles you can pursue as a Data Analyst:

  1. Data Analyst
  2. Business Analyst
  3. Financial Analyst
  4. Market Research Analyst
  5. Operations Analyst
  6. Healthcare Data Analyst
  7. Data Reporting Analyst
  8. Data Quality Analyst

And many more!!!


Note: Throughout the course, participants will have access to hands-on exercises, coding assignments, and real-world datasets to practice their data analysis skills. Interactive discussions, quizzes, and a dedicated online forum will foster an engaging learning experience.

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Course Content

Week 1: Introduction to Data Analysis

  • Introduction to data analysis and its importance in decision-making
  • Understanding the data analysis process
  • Data collection, data types, and data quality assurance
  • Introduction to data analysis tools and software (e.g., Python, R, Excel)

Week 2: Data Cleaning and Preparation

Week 3: Exploratory Data Analysis (EDA)

Week 4: Statistical Inference

Week 5: Regression Analysis

Week 6: Classification Techniques

Week 7: Cluster Analysis and Dimensionality Reduction

Week 8: Time Series Analysis

Week 9: Advanced Techniques in Data Analysis

Week 10: Capstone Project

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