About the Course
Learn how to analyze sales data using Python’s Pandas library with Series, DataFrames, filtering, grouping, CSVs, and real-world business use cases.
Course Structure
- Price: FREE
- Duration: 60 minutes
- Format: On-demand video lessons
- Mode: Self-paced
- Certificate: Yes, with completion
- Where: Available on the Juno School mobile app (Android & iOS)
What You’ll Learn
- Core Pandas Structures: Create and manipulate Series (1D labeled arrays) and DataFrames (2D tabular data) using lists, dictionaries, and CSV files. Master essential components like values, indexes, and custom indexing.
- Data Import & Export: Use
pd.read_csv()to load datasets and.to_csv()to export them. Manage both 1D (Series) and 2D (DataFrame) CSV formats effectively. - Essential Pandas Methods: Use exploratory methods like
.head(),.tail(),.info(),.describe(),.shape,.dtypes, and.isnull().sum()to inspect data, spot missing values, and understand data types and distributions. - Data Filtering & Boolean Logic: Perform powerful filtering using conditions (
df[df['column'] > value]), logical operators (&,|,~), and.isin()to slice data based on custom criteria, including filtering by category, region, or sales thresholds. - Aggregations & Grouping: Use
.groupby()with.sum(),.count(), and.mean()to mimic Pivot Table-like operations and analyze trends across regions, categories, or timeframes. Calculate Average Order Value (AOV) and percentage contributions. - Sorting, Renaming & Modifying Columns: Sort data using
.sort_values(), rename columns with.rename(), drop unnecessary columns or duplicates, and perform mathematical operations (like calculating discounts, net sales, etc.) using new columns. - Solving Business Use Case Questions: Apply Python to solve real-world business questions like total sales, product with lowest sales, top region by revenue, and percentage share of each category in overall sales.
Course Format
- On-demand video lessons
- Self-paced learning
- Hands-on examples with real-world sales data
Who It’s For
- Beginners with little to no prior Python experience
- Anyone looking to learn data analysis using Pandas
- Professionals who want to gain practical data analysis skills for business applications
Why Take This Course
- Learn in Hindi, making it easier to grasp complex concepts
- Practical, hands-on approach to data analysis
- Solve real-world business problems using Python
- Gain a valuable skill that is in high demand
- Get a certificate upon completion to showcase your new skills