Data Analytics with Python
Join LearnzLab, an online data science program. Experience a transformative journey. With a focus, on core principles and cutting-edge techniques, we provide you with the skills to master the field of Data Science. Best data science courses such as those provided in Delhi can go this step further by adding the human factor.
- More Than 10k Students
- 80% Students Placed
- 5.9 LPA Average CTC
Course Highlights
100% Job Assistance
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5+ Tools
Life Time Access
Flexible Learning Options
10+ Certification
Course Description
What is Data Analytics? Types (Descriptive, Predictive, Prescriptive)
Importance of Data Analytics in Business & Decision Making
Overview of Python – Why Python for Data Analytics?
Installing Python, Jupyter Notebook, Anaconda
Writing First Python Program
Variables, Data Types, Type Casting
Operators, Conditional Statements, Loops
Functions & Modules in Python
Introduction to NumPy
Arrays vs Lists
Array Operations (indexing, slicing, reshaping)
Mathematical & Statistical Functions
Introduction to Pandas
Series & DataFrame Objects
Importing Data (CSV, Excel, JSON, SQL)
Data Cleaning (missing values, duplicates, null handling)
Data Transformation (groupby, merge, join, concat)
Working with Date & Time in Pandas
Matplotlib Basics
Line Plot, Bar Plot, Pie Chart
Customizing Graphs (labels, titles, legends, colors)
Seaborn Basics
Distribution Plots (histogram, KDE)
Relationship Plots (scatter, pairplot)
Categorical Plots (boxplot, countplot, violin plot)
Styling & Advanced Customization of Visuals
Exporting Charts & Graphs
Descriptive Statistics: Mean, Median, Mode, Range, Variance, Standard Deviation
Data Distribution: Normal, Skewed, Uniform
Probability Basics: Independent & Dependent Events
Correlation & Covariance
Hypothesis Testing: p-value, t-test, chi-square test
Confidence Intervals & Significance Levels
Understanding Dataset Structure (rows, columns, features, targets)
Identifying Missing & Outlier Values
Feature Engineering (encoding categorical variables, binning, scaling)
Detecting Trends & Patterns in Data
Creating Summary Reports
Data Storytelling through EDA
Basics of SQL for Data Analytics
CRUD Operations (Create, Read, Update, Delete)
SQL Queries for Filtering, Sorting, Aggregation
Joins & Subqueries
Connecting Python with MySQL / PostgreSQL
Importing Data from Databases into Pandas
Marketing Analytics: Customer Segmentation, Campaign Analysis
Sales Analytics: Revenue Trends, Forecasting, Profitability Analysis
Finance Analytics: Risk Analysis, Stock Data Analytics
HR Analytics: Employee Performance, Attrition Analysis
Retail Analytics: Inventory Management, Demand Forecasting
Case Studies for Data-Driven Decision Making
Program Key Features
- 8 Years in Industry
- 80% Students Placed
- 10 LPA Highest CTC
- 100% Job Assistance
What You’ll Learn From This Course?
- Master Python Programming
- Data Cleaning & Transformation
- Data Visualization Skills
- Statistical Foundations
- Database & SQL Integration
What You’ll Learn From This Course?
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Frequently Asked Questions.
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