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Data Analyst

Business Analytics with Python

Unlock the power of data analysis in business using Python. This comprehensive course will equip you with the essential skills to analyze and visualize data, making informed business decisions.

Hands-on Python data manipulation and cleaning (pandas & NumPy) to prepare and transform real-world business datasets. Applied statistical analysis and basic predictive modeling to generate data-driven insights for business decisions. Data visualization and storytelling using matplotlib, Seaborn, and Plotly to communicate actionable insights and build dashboards.
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Signature Learning Experience
Business Analytics with Python
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Earn an industry-recognized credential and get access to mentor-led guidance throughout your learning journey.

4.9/5 Program Rating
1,761 Learners Enrolled
All level Level
32 hrs Total Duration
English,Hindi Language
Globally trusted accreditations Recognitions that back every SkillsBiz graduate
Nasscom Certification Six Sigma Certification ISO Certification MSME Certification ISO 9001 Certification Startup India Certification EU Certification MCA Certification Future Skills Certification Nasscom Logo
Program Overview

Experience a modern, outcome-driven curriculum

Built with industry mentors, this program blends immersive live sessions, simulation projects, and on-demand resources so you can master Mandarin Chinese with confidence.

This course covers business analytics concepts and techniques using Python. Participants will learn how to work with data, apply statistical methods, create visualizations, and develop insights for effective decision-making in business. By the end of the course, you will be able to analyze real-world data sets and make data-driven decisions.

Why learners love this program

Each element is crafted to accelerate fluency, cultural context, and career readiness.

  • Hands-on Python data manipulation and cleaning (pandas & NumPy) to prepare and transform real-world business datasets.
  • Applied statistical analysis and basic predictive modeling to generate data-driven insights for business decisions.
  • Data visualization and storytelling using matplotlib, Seaborn, and Plotly to communicate actionable insights and build dashboards.
Lectures
16
Guided Hours
32 hrs.
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Learning Outcomes

Unlock the capabilities that matter in real-world communication

Every module stacks practical language skills with cultural fluency, so you can speak confidently in professional, academic, and social settings.

Import, clean, and transform business data using Python libraries (pandas, NumPy)
Perform exploratory data analysis and compute descriptive statistics to uncover patterns
Handle missing values, outliers, and data quality issues for reliable analysis
Create clear, effective visualizations with matplotlib, seaborn, and interactive tools (Plotly)
Apply statistical methods including hypothesis testing, confidence intervals, and ANOVA
Build and interpret linear and logistic regression models for prediction and inference
Develop classification and evaluation workflows using scikit-learn (cross-validation, metrics)
Perform time series analysis and basic forecasting (trend, seasonality, ARIMA/exponential smoothing)
Engineer and select features, apply scaling and encoding, and construct reproducible pipelines
Tune models with hyperparameter search and assess performance using robust validation techniques
Translate analytical results into actionable business insights and data-driven recommendations
Design concise dashboards and reports to communicate findings to stakeholders
Understand data ethics, privacy considerations, and best practices for reproducible analysis
Certificate

Certificate You'll Receive

Earn an industry-recognized certificate upon successful completion of this course.

Business Analytics with Python — Course Certificate
Personalised guidance

Book a discovery call with our program specialists

Get tailored advice on learning paths, certification journeys, and industry opportunities before you enroll.

In a focused 20-minute consultation we map your current proficiency, clarify where you want to get to, and suggest the quickest route to fluency with milestones we can help you hit.

  • Understand the skill gaps holding you back and the modules that can close them in the next cohort.
  • Get a personalised cohort recommendation based on availability, trainer profile, and your weekly bandwidth.
  • Discover global project work and certification add-ons that enhance Mandarin credentials on your CV.

Reserve your slot

Share your details and we will connect within 24 hours to set up a personalised walkthrough.

Curriculum Architecture

Structured modules that build fluency session after session

Explore the complete roadmap—from foundational vocabulary to advanced professional expressions—crafted with practical immersion in mind.

What is Business Analytics?
Define business analytics and explain its role in data-driven decision-making in organizations.
1.00 hrs
Analytics Lifecycle and Use Cases
Describe the analytics lifecycle and identify common business use cases where analytics adds value.
1.00 hrs

Python Installation and Environment Setup
Set up a Python environment and explain the tools commonly used for data analysis, including Jupyter and virtual environments.
1.00 hrs
Basic Syntax and Data Types
Understand Python syntax, core data types, and basic operations for working with data.
1.00 hrs
Control Flow and Functions
Write control flow statements and functions to structure code and automate repetitive tasks.
1.00 hrs

Data Structures in Pandas (Series & DataFrame)
Explain Pandas primary data structures and perform basic indexing and selection operations.
1.00 hrs
Data Cleaning and Preparation
Apply techniques to clean, handle missing values, and standardize datasets for analysis.
1.00 hrs
Transformations and Aggregations
Perform data transformations, group-wise aggregations, and pivot operations to prepare analysis-ready tables.
1.00 hrs

Creating Plots with Matplotlib
Create common plot types (line, bar, scatter) using Matplotlib to visualize key patterns in data.
1.00 hrs
Customizing Figures and Styles
Customize plot aesthetics, labels, legends, and layouts to make visualizations clear and professional.
1.00 hrs

Statistical Plots with Seaborn
Use Seaborn to create statistical visualizations such as distribution plots and categorical comparisons.
1.00 hrs
Advanced Seaborn Techniques
Apply advanced Seaborn features like faceting and theme settings to enhance exploratory visuals.
1.00 hrs

Summary Statistics and Distributions
Compute and interpret summary statistics and distributional measures to characterize datasets.
1.00 hrs
Data Exploration and EDA Techniques
Conduct exploratory data analysis to uncover trends, outliers, and relationships in business data.
1.00 hrs

Hypothesis Testing Basics
Formulate hypotheses and perform basic statistical tests to support decision-making under uncertainty.
1.00 hrs
Confidence Intervals and Correlation
Construct confidence intervals and assess correlation to quantify relationships and estimate parameters.
1.00 hrs

Regression Models
Build and evaluate regression models to predict continuous business outcomes.
1.00 hrs
Classification Models
Train and assess classification models for predicting categorical outcomes and measuring performance.
1.00 hrs

Clustering Methods
Apply clustering techniques to segment data and discover natural groupings.
1.00 hrs
Dimensionality Reduction
Use dimensionality reduction methods to simplify data and improve model performance or visualization.
1.00 hrs

Interactive Charts with Plotly
Create interactive charts that allow users to explore data through hover, zoom, and filter features.
1.00 hrs
Plotly Express and Figure Customization
Leverage Plotly Express for rapid charting and customize figures for presentation and dashboards.
1.00 hrs

Dashboard Layouts and Callbacks
Design Dash app layouts and implement callbacks to create interactive, reactive dashboards.
1.00 hrs
Deploying and Sharing Dashboards
Prepare and deploy Dash applications for sharing results with stakeholders and collaborators.
1.00 hrs

Data Preparation and Exploration
Prepare the sales dataset and perform exploratory analysis to identify key metrics and trends.
1.00 hrs
Deriving Business Insights
Translate analysis results into actionable business insights and recommendations for stakeholders.
1.00 hrs

Project Scoping and Dataset Selection
Define project objectives, select appropriate datasets, and outline success criteria for the final project.
1.00 hrs
Designing Analysis Approach
Plan the analysis workflow, choose methods and visualizations, and assign milestones for project execution.
1.00 hrs

Implementing Analysis and Visuals
Execute the planned analysis, build models and visualizations, and iterate based on findings.
1.00 hrs
Reporting Results and Presentation
Compile findings into a clear report and present results with supporting visuals and recommendations.
1.00 hrs

Recap and Key Takeaways
Summarize core concepts learned and reflect on how to apply them in business contexts.
1.00 hrs
Further Learning Resources and Career Paths
Identify resources and learning pathways to continue skill development and explore career opportunities in analytics.
1.00 hrs
Upcoming Batches

Pick a schedule that fits your routine

We run multiple live cohorts so you can line up a batch with your goals, weekly bandwidth, and preferred mode of learning.

New cohorts are being planned

Share your interest and we will notify you as soon as the next batch opens.

Learner Voices

Stories from professionals who accelerated with SkillsBiz

Hear how learners leveraged mentor feedback, immersive projects, and certification support to reach their Mandarin goals.

I
Isha Saxena
This course helped me see how Python supports decision-making. Data analysis and visualisation exercises made learning interactive and practical.
G
Gurleen Aulakh
Business Analytics with Python helped me think more analytically. Visualising data and drawing insights felt very rewarding.
K
Kritika Arora
Business Analytics with Python helped me build confidence in working with data. Cleaning, analysing, and visualising datasets made analytics feel approachable and useful.
N
Noman Akhtar
Business Analytics concepts became clearer once Python was applied to real datasets. Visualising trends and insights helped me understand patterns quickly.
K
Keshav Malhotra
I enjoyed how Python was taught alongside real business problems. Cleaning data, analysing trends, and building reports gave me confidence to work with real datasets.
A
Arnav Aggarwal
Business Analytics with Python helped me understand how data actually turns into insights. Working with pandas, NumPy, and visualisation libraries made analysis feel practical instead of theoretical.
Frequently Asked Questions

Your questions, answered in one place

Everything you need to know before you commit—from certification timelines to support during the program.

A basic understanding of Python programming and statistics is recommended.
You will have lifetime access to all course materials and updates.
Yes, you will receive a certificate upon successfully completing the course.
You'll need to install Python and libraries like Pandas, Matplotlib, and Seaborn.
Yes, the course is self-paced, allowing you to complete it at your convenience.
You can post questions in the course forum, and instructors will assist you.
The course is designed for individuals with some background in Python programming.
The course duration is 32 hours.
All necessary resources will be provided in the course.
The price of the course is INR 14,999.

Global recognitions that power your profile

We are trusted by leading accreditation bodies, ensuring your certificate is respected by employers worldwide.

Nasscom Certification Six Sigma Certification ISO Certification MSME Certification ISO 9001 Certification Startup India Certification EU Certification MCA Certification Future Skills Certification Nasscom Logo
Awards & Recognitions

Celebrated for excellence in outcome-driven education

Our pedagogy, learner outcomes, and mentor network have been acknowledged by industry councils and global education forums.

Ready to fast-track your Business Analytics with Python mastery?

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