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.
4.9/5
Program Rating
1,761
Learners Enrolled
All level
Level
32 hrs
Total Duration
English,Hindi
Language
Globally trusted accreditations
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.
Featured in the media
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.
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
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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?
- https://docs.google.com/presentation/d/e/2PACX-1vTOQyb8oAZXPTmp5YNmq0Miuiyp5rCS4vdt41MPtFpZ17EqgomScOIbCHRCCJdhdQ/pubembed
Analytics Lifecycle and Use Cases
- https://docs.google.com/presentation/d/e/2PACX-1vR5uwPTtsDfUBW0Wpfuvi9hBflsfQ4K4Ih_NAqIJKO1YgN6BsaD9WlfICN2HBtXjw/pubembed
Python Installation and Environment Setup
- https://docs.google.com/presentation/d/e/2PACX-1vTHTqYZYU-2cZdJx2ExxQClbFP8-hQmcFB0tbeq9gZgI8ZpocEkYrnE1B0e6R9Prg/pubembed
Basic Syntax and Data Types
- https://docs.google.com/presentation/d/e/2PACX-1vTloqF1QudRN6f6WJGtjoGsmBrEY-0Klpem0-xVacCOjZg3zq0ecxX9wg1peFWQ8A/pubembed
Control Flow and Functions
- https://docs.google.com/presentation/d/e/2PACX-1vQ9R6Xw3mwRE4U8mr4iHyR5meWyi6yX-qLuizIFDDmMWeWODoOH8RRb312uLuv3nA/pubembed
Data Structures in Pandas (Series & DataFrame)
- https://docs.google.com/presentation/d/e/2PACX-1vQDbKgftzaDayX8sQrlxoEXLCxiinvVCIYk0Ary5y0sa-TxkCITVD6X6XpQmaEiKw/pubembed
Data Cleaning and Preparation
- https://docs.google.com/presentation/d/e/2PACX-1vQt2g6bJnz0onBMPSPA2caKuVZ_jxhokzLNwMfkCEArjVADHEGl64gw53jxllKABA/pubembed
Transformations and Aggregations
- https://docs.google.com/presentation/d/e/2PACX-1vRrtxbr9gaH_Xl-7tzegN4t4iQpa-um-Z1g1pC3JiDnyv8-hWObUwZXiexJCGENxA/pubembed
Creating Plots with Matplotlib
- https://docs.google.com/presentation/d/e/2PACX-1vTR2Ki-AIfH5_V44OvCqMbLa5QnpMBxu9ys2L0tvJ30_KDBMgDaeCAf7orMe5822w/pubembed
Customizing Figures and Styles
- https://docs.google.com/presentation/d/e/2PACX-1vSHvTy1xxrir6SSqzH8E3k0EvYf-WAHqbBWpv1g1bLzuUVXdN1zSG_HBg4vrCAtXw/pubembed
Statistical Plots with Seaborn
- https://docs.google.com/presentation/d/e/2PACX-1vQddOrhDcU692L5Z52OwMDOqaAmSjkrGdJlOF51NMhJjXZRhASpbN8a-MFiYuNWiQ/pubembed
Advanced Seaborn Techniques
- https://docs.google.com/presentation/d/e/2PACX-1vQqsRqG4CvlPwDZZJ1RzedX1xuXdeeBbHfzZslMy--wSLnQKHfH4aOzWpjW6YuHLQ/pubembed
Summary Statistics and Distributions
- https://docs.google.com/presentation/d/e/2PACX-1vQDb6BdZPRInyZyFSpF1fRHycsDtFX7pn-MqBE_Gdsyxz2TWtnU7DaQNEj-Ok4NYQ/pubembed
Data Exploration and EDA Techniques
- https://docs.google.com/presentation/d/e/2PACX-1vQnSB2sto7BvZkbFY2GtZaOsAOC6kAAVqMjR6l4LOdg7nunRnf4DEwSNoYRp3ZY2w/pubembed
Hypothesis Testing Basics
- https://docs.google.com/presentation/d/e/2PACX-1vTIi8hGgfxpFP19HO2Kfw4GGw_fIo9EPTFC8EUjv_wcZI7lbM3eq3w3u9LPk__Zmw/pubembed
Confidence Intervals and Correlation
- https://docs.google.com/presentation/d/e/2PACX-1vR9UV7FzmwCnB7JbzlvmqbSv7rMPSD31pO7u15neDsYVPHauFhDjGIgqf3_E9it4w/pubembed
Regression Models
- https://docs.google.com/presentation/d/e/2PACX-1vRUmm3LVnZRKgTzTv4hGOBFSuq4hubVEjtyhKLNxGWJe7ozYkeQ_cbC2jWvWfzt8Q/pubembed
Classification Models
- https://docs.google.com/presentation/d/e/2PACX-1vQ9LL5l5gapK4XFHvv6yH-Kkg13lEieVbpzj1T03nY1OTER0Vnl1lduvBxKRcKoSQ/pubembed
Clustering Methods
- https://docs.google.com/presentation/d/e/2PACX-1vT7JewRTKf8kArELTlIRFuUGM7UA1qbsdNeeQanhNx8hGbq8bgzsrCLWUvH5wJdzA/pubembed
Dimensionality Reduction
- https://docs.google.com/presentation/d/e/2PACX-1vQ6Tj8SgMSzvspso_wHpEfX5JstkiCGk3Wc7cxHSoDJInILc15AoFVK2vYVLsGTSg/pubembed
Interactive Charts with Plotly
- https://docs.google.com/presentation/d/e/2PACX-1vTUNf3BXdrtpBXxue98XetGPYKyNcyMOfo7ENDDRUpwrKdmsQCYEurzIqGH0AgCNw/pubembed
Plotly Express and Figure Customization
- https://docs.google.com/presentation/d/e/2PACX-1vSyNvvQoyHwP-QiN6G66s5ayNvFqC3lm2GTVXAftsOetWTSKPnMfFEEg4dz2WE-fA/pubembed
Dashboard Layouts and Callbacks
- https://docs.google.com/presentation/d/e/2PACX-1vSl4_-7INTIE8gsMjXJpS2L7iBsEof2j5PZcQO1hElsSJK6YJg8UGko2nsEKgREsQ/pubembed
Deploying and Sharing Dashboards
- https://docs.google.com/presentation/d/e/2PACX-1vR7RPkcfkxEKkF144URIBfGeSfoh2OQLfeRrnh1ZgZYnTZzK7IOTVCSWZbyH9sS8g/pubembed
Data Preparation and Exploration
- https://docs.google.com/presentation/d/e/2PACX-1vRyMfeDeeWvUdUnvqF9DGEV7ice4NOkYLjPDPE74YOESIsLmrrBeHzfBRPW_-3fRQ/pubembed
Deriving Business Insights
- https://docs.google.com/presentation/d/e/2PACX-1vQHnaZy9r8d17itPuOgIcnSO-3JrJ1j9KUD1cVVZnNP4nm0bVXrSc04aRKskljfOQ/pubembed
Project Scoping and Dataset Selection
- https://docs.google.com/presentation/d/e/2PACX-1vQg6ghsRrQdFda2ADAiS9YRtuWPPvlQg6yfwbl6B14mdG1tpCt2qOarpIh6tCJPcw/pubembed
Designing Analysis Approach
- https://docs.google.com/presentation/d/e/2PACX-1vR6F_7EQGA4xc2W26H2wRLYS81-IyVJkSMEarGoOa4wCzBXfkHBLtxMJQn_mUH2sw/pubembed
Implementing Analysis and Visuals
- https://docs.google.com/presentation/d/e/2PACX-1vQLxdhNueiVdhLtcYhDwX0jhZ2FaryRpxR6ccaIn-dmb27lYrOaqWXTcB3sGSFPqQ/pubembed
Reporting Results and Presentation
- https://docs.google.com/presentation/d/e/2PACX-1vQvG59NbMs6UKgJ71JviXd8txFUiFPVBoBFr4ajpi_9OzTY2sYDcohOupJKHGcD2Q/pubembed
Recap and Key Takeaways
- https://docs.google.com/presentation/d/e/2PACX-1vQqcBhwRQXJr6-wSkT9vLV0RGJH8jVUskfQBS24Fe0HEHKhd0Cc5TVaCkJ8mxpBMg/pubembed
Further Learning Resources and Career Paths
- https://docs.google.com/presentation/d/e/2PACX-1vRl75psJulIACHnxDaaTIyX-KgQafopd75GfPyFqUnBBlQRKlTsEioqkT460RzSVA/pubembed
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.
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.
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.
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.
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