Exploratory Data Analysis 101
Unlock critical data insights: Master EDA using Google Sheets, Power BI, and Python.
About this Course
This course is designed for Indian working professionals keen to demystify data. Learn to perform Exploratory Data Analysis (EDA) efficiently using industry-standard tools like Google Sheets, Power BI, and Python. We'll equip you with the skills to uncover hidden patterns, validate data quality, and set the stage for robust data modeling. Gain a practical edge in your data science career.
What You'll Learn
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Master core EDA principles for effective data investigation.✓
Utilize Google Sheets for quick data analysis and basic statistics.✓
Build interactive dashboards and clean data using Power BI's capabilities.✓
Perform advanced statistical analysis and custom EDA with Python libraries.✓
Identify and resolve data quality issues before modeling.✓
Prepare clean, insightful datasets for advanced machine learning projects.Who This Course is For
Aspiring Data Analysts and Scientists looking to strengthen their foundational skills.
Business Intelligence Professionals aiming to enhance data visualization and cleaning techniques.
Project Managers needing to understand data quality and insights for better decision-making.
Anyone working with data who wants to move beyond basic reporting to deeper analysis.
Why Take This Course
Gain Practical, In-Demand Skills
Learn to apply EDA techniques directly using tools prevalent in the Indian job market, making you job-ready.
Boost Your Career Prospects
Elevate your profile with a certified skill in data analysis, opening doors to advanced roles in data science and analytics.
Master Industry-Standard Tools
Get hands-on experience with Google Sheets, Power BI, and Python – the essential toolkit for any serious data professional.
Make Data-Driven Decisions
Develop the ability to extract meaningful insights from raw data, enabling more informed and impactful business strategies.
Frequently Asked Questions
What are the prerequisites for this course?
Basic familiarity with spreadsheets is helpful, but no prior experience in data analysis or programming is required. We start with fundamentals.
Which specific Python libraries will be covered?
We will focus on essential libraries like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and NumPy for numerical operations.
Will I receive a certificate upon completion?
Yes, upon successful completion of all course modules and assessments, you will receive a verifiable certificate from Juno School.
How does EDA help in real-world data projects?
EDA is crucial for understanding your data, identifying anomalies, validating assumptions, and ensuring the quality needed before building any reliable models or reports.
Is this course suitable for someone transitioning into data science?
Absolutely. This course provides a strong foundational understanding of EDA, a critical first step for anyone looking to build a career in data science.
