Course Details
Data Analysis
Learn How To Use Data Analysis In Real-World
- 1 Year Course Access
- Live Mentorship by Experts
- Internship Certificate
- 40+ Hours of Live Class
- 2 Capstone Projects
- Course Completion Certificate
- Fundamentals of data analysis and its real-world applications
- Data cleaning, preprocessing, and transformation
- Exploratory data analysis (EDA) and visualization techniques
- Basic statistical concepts and hypothesis testing
- Hands-on experience with tools like Excel, Python (pandas, matplotlib), or R
- Basic computer literacy (file handling, using web browsers, etc.)
- Familiarity with spreadsheets (e.g., Excel or Google Sheets) is helpful
- No prior programming experience required — we’ll guide you through the basics
- A laptop or desktop with internet access
- Willingness to learn and solve real-world problems using data
- Beginners who want to start a career in data analysis or data science
- Students and recent graduates looking to build practical, in-demand skills
- Professionals from non-technical backgrounds (business, marketing, HR, etc.) seeking to make data-driven decisions
- Entrepreneurs and small business owners who want to analyze customer or sales data
- Anyone curious about how to turn data into actionable insights, even without a technical background
Description
Master the essentials of data analysis and transform raw data into valuable insights. This course covers data cleaning, exploration, visualization, and basic statistics using tools like Excel, Python, or R. Perfect for beginners and professionals looking to upskill.
Data Analysis Course Syllabus
This course provides learners with practical and theoretical knowledge of data analysis, covering data collection, cleaning, visualization, and interpretation using modern tools and techniques. Students will gain skills to analyze real-world data and make data-driven decisions.
- What is data analysis?
- Types of data (structured vs. unstructured)
- Real-world applications
- Overview of tools: Excel, Python, R
- Data sources: surveys, databases, APIs, web scraping
- Data types and formats (CSV, Excel, JSON)
- Cleaning data: handling missing values, duplicates, formatting
- Introduction to pandas (Python) or tidyverse (R)
- Descriptive statistics: mean, median, mode, variance
- Data summarization and grouping
- Sorting and filtering data
- Introduction to visualizations: histograms, bar charts, scatter plots
- Principles of effective data visualization
- Creating charts and dashboards in Excel
- Using matplotlib / seaborn (Python) or ggplot2 (R)
- Telling stories with data
Correlation and causation
Hypothesis testing basics
Confidence intervals
A/B testing fundamentals
- Analyze a real-world dataset
- Apply full data analysis workflow
- Present findings with visuals and insights
- Peer review and feedback
🎓 Get a certificate of completion to showcase your skills to employers or add to your LinkedIn profile.
- Course Completion Certificate: Acknowledge your hard work and commitment with a certificate from Eduvizo upon successfully finishing the program.
- Internship Certificate: After completing a hands-on internship, you will receive an official certificate from Eduvizo and top-tier universities.
- Industry Certificate: Earn a prestigious industry certificate from well-known and respected companies as a recognition of your practical expertise.
Data Analysis Course Fee
Data Analysis Course Fee
Quality learning, simplified and budget-friendly – just for you!
The Eduvizo course is clear and practical, with hands-on projects and a strong focus on real-world applications. I highly recommend it!
Ramesh Jaswal
Student
Self Placed Program
Mentor-led Program
