Sales forecasting
Use time series methods to forecast monthly sales for a retail dataset and explain the trend.
Data Science Course Online from India
Learn statistics, R or Python, machine learning, text mining, forecasting and SQL to find answers in real data. Live trainer-led classes for learners worldwide, with hybrid and 100% offline options in India.
Live online3 levels40–76 hYour time zone
01About the course
What you will learn in Data Science
Data science is the practice of using statistics, programming and machine learning to find patterns in data and make predictions. A data scientist collects and cleans data, explores it with charts, tests ideas with statistics and builds models such as regression, decision trees or clustering. The work is usually done in R or Python, with data stored in SQL databases or cloud platforms like AWS.
This page is for learners outside Vellore, Katpadi and Ranipet – NRIs, professionals in the Gulf and other countries, and students elsewhere in India who want Data Science taught live by a trainer.
Basic computer skills and school-level maths are needed. Comfort with numbers matters more than coding; R and Python are taught from the basics.
At a glance
- 3 programme levels: 40–76 h
- Live online, hybrid or offline in India
- Projects assessed before certification
- Certificate from the Livewire network
- Batches fixed around your time zone
02Outcomes
Skills you will be able to show
- Describe data with measures of central tendency, dispersion, skewness and kurtosis
- Apply probability distributions, z-scores, confidence intervals and significance tests
- Program in R or Python to clean, explore and visualise data
- Build regression, classification and clustering models and interpret results
- Perform text mining and create word clouds from text data
- Forecast values using time series analysis
03Syllabus
Data Science syllabus by level
Every module and topic taught in the classroom batch is covered online. Open a level to see its modules.
Foundation level
Course on Data Science using R
Beginners and researchers who want a focused 40-hour course on statistics and machine learning with R.
40 hours7 modules · 31 topicsCertificate: Livewire network
01Introduction to Data Science and R5 topics
Introduction to Data ScienceAbout R ProgrammingInstalling RStudioWorking with R ProgrammingR Packages
02Descriptive Statistics6 topics
Measures of Central TendencyDispersionSkewnessKurtosisData VisualisationQ-Q Plot
03Probability and Distributions4 topics
Probability TheoryNormal DistributionBinomial DistributionPoisson Distribution
04Inferential Statistics4 topics
Confidence IntervalZ-DistributionT-DistributionZ-Score
05Regression Models3 topics
Simple Linear RegressionMultiple Linear RegressionLogistic Regression
06Classification and Clustering5 topics
ClusteringK-Nearest Neighbours (KNN)Naïve BayesDecision TreeDimension Reduction
07Text Mining and Forecasting4 topics
Text MiningWord CloudForecastingTime Series Analysis
Foundation level
Course on Data Science & Data Engineering Using Python
Learners who prefer Python and want 64 hours covering statistics, machine learning, NLP and MySQL-based data engineering.
64 hours9 modules · 50 topicsCertificate: Livewire network
01Python for Data Science5 topics
Introduction to Data ScienceImportance of Python ProgrammingBasics of PythonBasic Statistics Using PythonModules and Packages in Python
02Exploratory Data Analysis and Visualisation5 topics
Exploratory Data Analysis (EDA)Data VisualisationSkewnessKurtosisEDA Case Study
03Statistics and Probability7 topics
Probability TheoryNormal DistributionZ-ScoreConfidence IntervalZ-DistributionT-DistributionCase Studies
04Data Pre-Processing2 topics
Data Pre-ProcessingPre-Processing Case Study
05Machine Learning8 topics
Introduction to Machine LearningImportance of Machine Learning in Data ScienceSupervised Learning: Naïve BayesSupervised Learning: Random ForestLinear RegressionUnsupervised Learning: K-Means ClusteringHierarchical Clustering and DendrogramCase Studies
06NLP and Text Mining6 topics
Introduction to NLPData Analysis Using Text MiningText Mining Using NLPText Mining Case StudyIntroduction to Word CloudApplications of Word Cloud
07Advanced Analytics5 topics
Time Series AnalysisForecastingDimension ReductionAssociation Rule MiningCase Studies
08Introduction to Data Engineering4 topics
Introduction to Data EngineeringDifference Between Data Scientist and Data EngineerDifferent Data SourcesProcedure for Collecting Data from Different Sources
09MySQL and Python Integration8 topics
Introduction to MySQLBasics of DatabasesConfiguring MySQL Server and ClientSteps for Database CreationDatabase MaintenanceBasic and Advanced Database QueriesPython Programming for SQLIntegrating Data Engineering with Data Science
Foundation level
Course on Data Science
Serious learners who want the most complete 76-hour path: R, in-depth statistics, machine learning, SQL Server, data mining and AWS cloud.
76 hours12 modules · 97 topicsCertificate: Livewire network
01Data Science Initials5 topics
Introduction to Data ScienceAnalytics MethodologyProblem DefinitionData CollectionData Types and Data Dictionary
02Programming with R5 topics
Introduction to R ProgrammingNeed for R in Data ScienceR Features: Variables, Loops and FunctionsData Visualisation Using Built-In R PackagesCase Studies and Lab Work
03Descriptive Statistics6 topics
Basics of StatisticsDescriptive StatisticsMeasures of Central TendencyMeasures of DispersionMeasures of PositionMeasures of Frequency
04Inferential Statistics and Tests of Significance15 topics
Inferential StatisticsCorrelationCovarianceConfidence IntervalBiasOutliersSkewness and KurtosisNormal DistributionBinomial DistributionPoisson DistributionType I and Type II ErrorsOne-Tailed and Two-Tailed TestsT-TestChi-Square TestANOVA Test
05Data Pre-Processing6 topics
Importance of Data ProcessingClient Expectation vs Machine ExpectationData Quality AssessmentData CleaningData TransformationData Reduction
06Machine Learning7 topics
What Is Machine LearningImportance of MLTypes of LearningSupervised vs Unsupervised LearningClassification: Naïve Bayes, SVM and KNNRegression: Linear Regression and Random ForestClustering: K-Means and Hierarchical Clustering
07Analytics and Visualisation5 topics
Data Analytics OverviewTypes of Data AnalyticsData Visualisation with ggplot for Decision MakingForecasting AnalyticsMicrosoft Excel for Data Analytics
08SQL for Data Science8 topics
SQL Server OverviewMS SQL vs Oracle SQLSQL Server InstallationSQL Server ArchitectureSQL Server Management Studio (SSMS)SQL Server Queries and Procedural StepsSQL with Data ScienceData Wrangling Using SQL
09Social Network Analysis3 topics
Graph TerminologyGephi Installation and UseCreating and Analysing Network Graphs
10Data Mining8 topics
Evolution of Database TechnologyData Mining OverviewKDD Process in Data MiningAssociation Rule MiningWeb Content, Web Usage and Web Structure MiningSpatial Mining (MBR and Quad Tree)Temporal Mining with Neural Networks in Keras and TensorFlowText Mining with NLP
11Industry 4.0 and AWS Fundamentals10 topics
What Is Industry 4.0Getting Started with AWSAWS Security and IAM RolesAWS Features and ArchitectureEvolution of Cloud PlatformsWhat Is Big DataBig Data Tools in AWSBasics of HadoopWhat Is Data WarehousingIntroduction to Amazon Redshift
12AWS Services and Integration19 topics
VPCAWS LambdaAWS Glue and CrawlersAmazon RDSData Lake on S3EC2EMR (Elastic MapReduce)EndpointsSageMakerQuickSight IntegrationEFSAmazon CloudWatchAWS KMSIntegrating Microsoft SQL with AWSBuilding a Process with a Data Lake and SQL DatabaseCreating R Programs for AWS LambdaWorking with a Data WarehouseUsing AWS Glue Studio to Connect ProcessesR Programming for Hadoop
04Tools covered
Software and tools you will use
R and RStudioPythonggplot for visualisationMySQLMicrosoft SQL Server and SSMSMicrosoft Excel for analyticsGephi for network analysisKeras and TensorFlow (temporal mining)AWS: S3, Glue, Lambda, RDS, Redshift, EMR, SageMaker, QuickSightHadoop basics
We provide training and instruction only. Software and licences are not included; use your own licence, or an educational or trial licence where the software maker offers one. See our Software & Licensing Policy. Certificates are skill-training certificates, not degrees or professional licences.
05Projects
Practice projects
Customer segmentation
Group customers with K-means or hierarchical clustering and describe each segment.
Loan or churn prediction
Build a logistic regression or random forest model and measure how well it predicts.
Review text mining
Clean product reviews, find common words with a word cloud and summarise customer opinions.
06How online works
How the Data Science course runs online
Pick the mode that matches where you are and what you can travel for.
Live online
Trainer-led sessions on your own computer. Same syllabus, project and certificate as classroom batches. Evening, early-morning or weekend slots in your time zone.
Hybrid
Part online, part in the lab. Take lab sessions at Vellore, Katpadi or Ranipet when you visit India, and the rest online. Depends on trainer and lab availability.
100% offline in India
Learn at our centres on any date that suits you and the trainer. Fast-track schedules possible. Partner-centre options in other cities are explored case by case.
07Class timings
Find your class time
Example slots for popular regions. Your exact timing is fixed with the trainer on WhatsApp.
| City | Slot | Your local time | India time (IST) |
|---|---|---|---|
| Dubai · Abu Dhabi | Weekday evening | 7:00 PM–9:00 PM | 8:30 PM–10:30 PM |
| Dubai · Abu Dhabi | Weekday early morning | 6:00 AM–8:00 AM | 7:30 AM–9:30 AM |
| Dubai · Abu Dhabi | Weekend morning | 9:00 AM–11:00 AM | 10:30 AM–12:30 PM |
Slots marked “late night in India” need the trainer’s confirmation. Final timings are fixed on WhatsApp based on trainer and student availability; any date and time can be arranged where a trainer is available.
| City | Slot | Your local time | India time (IST) |
|---|---|---|---|
| London · Manchester · Birmingham | Weekday evening | 7:00 PM–9:00 PM | 12:30 AM–2:30 AM (next day) late night in Indiawinter · summer: 11:30 PM–1:30 AM late night in India |
| London · Manchester · Birmingham | Weekday early morning | 6:00 AM–8:00 AM | 11:30 AM–1:30 PMwinter · summer: 10:30 AM–12:30 PM |
| London · Manchester · Birmingham | Weekend morning | 9:00 AM–11:00 AM | 2:30 PM–4:30 PMwinter · summer: 1:30 PM–3:30 PM |
Slots marked “late night in India” need the trainer’s confirmation. Final timings are fixed on WhatsApp based on trainer and student availability; any date and time can be arranged where a trainer is available.
| City | Slot | Your local time | India time (IST) |
|---|---|---|---|
| Singapore | Weekday evening | 7:00 PM–9:00 PM | 4:30 PM–6:30 PM |
| Singapore | Weekday early morning | 6:00 AM–8:00 AM | 3:30 AM–5:30 AM late night in India |
| Singapore | Weekend morning | 9:00 AM–11:00 AM | 6:30 AM–8:30 AM |
Slots marked “late night in India” need the trainer’s confirmation. Final timings are fixed on WhatsApp based on trainer and student availability; any date and time can be arranged where a trainer is available.
08By country
Data Science for learners in your country
09Pair it with
Related online courses
Software Development
Python Course
Learn to write real Python programs – from variables and loops to OOP, databases, GUIs and web apps – with hands-on projects.
3 levels50–120 h
Online details Software Development
R Programming Course
Learn R to clean data, run statistics and draw clear charts with ggplot2 – from your first line of code to a complete data project.
1 level40 h
Online details Special Programs
Machine Learning Course
Learn the statistics and algorithms behind machine learning, and build classification, regression, clustering and neural-network models in Python and R.
2 levels56–96 h
Online details Special Programs
Data Analytics Course
Turn raw Excel, database and cloud data into clear Tableau charts, maps and dashboards that help people make decisions.
1 level40 h
Online details 10FAQ
Data Science online – FAQ
Still have a question? Message us on WhatsApp.
Ask on WhatsAppCan I learn Data Science online from outside India?
Yes. Data Science is taught live online by a trainer, with the same syllabus, hours and project as the classroom batch. Batches are planned around your time zone, subject to trainer availability.
How many hours is the Data Science course?
Data Science is offered at 3 levels (40–76 h): Course on Data Science using R – 40 hours; Course on Data Science & Data Engineering Using Python – 64 hours; Course on Data Science – 76 hours.
Do I need to buy the software?
We teach; we do not supply software. Use your own licence or an educational or trial licence where the maker offers one. Our Software & Licensing Policy explains the rules.
Can I attend some classes in person in India?
Yes. Hybrid and fully offline options are available at our Vellore, Katpadi and Ranipet centres on dates agreed in advance, depending on trainer and lab availability.
What does it cost?
Fees depend on the level and mode. Message +91 8111 029 125 on WhatsApp for the current fee and payment options for your country.
Will I get a certificate?
On completing the course and its project you receive the Livewire network certificate. It is a skill-training certificate, not a degree or a professional licence.
Start from anywhere
Get the Data Science syllabus, fee and next batch
Tell us your country and preferred time. We reply on WhatsApp with the syllabus, fee and the next available batch.
- Live online, hybrid or 100% offline in India
- Batches in your time zone, based on trainer availability
- Free counselling and a syllabus on WhatsApp
- One number for everything: +91 8111 029 125