Become a certified Data Science expert with our comprehensive Data Science course in Lahore, offered by Nexskill.
Course Flow or Roadmap
Launch your career with the Data Science course in Lahore at Nexskill. This course provides hands-on experience and comprehensive knowledge of data analysis, machine learning, statistical modeling, and AI implementation. Whether you're a beginner or looking to advance your skills, our expert instructors deliver industry-ready training over a 10-month duration. The course is designed to help you master data-driven decision making, predictive analytics, and big data technologies, empowering you to solve complex business problems through data insights.
What Does a Data Scientist Do?
Now available in Lahore, Karachi, Islamabad, Rawalpindi, Sialkot, Faisalabad, Multan, Gujranwala, and Online across Pakistan. You can choose your preferred campus or attend virtually from anywhere with our interactive e-learning platform and live instructor-led sessions.
Module Topics
A Data Scientist analyzes complex datasets to extract meaningful insights and build predictive models that drive business decisions. They work with machine learning algorithms, statistical methods, and big data technologies to solve real-world problems across industries like healthcare, finance, e-commerce, and technology. Data Scientists are skilled in data cleaning, feature engineering, model development, and communicating findings to stakeholders through compelling visualizations and reports.
Course Curriculum Overview
1Python Programming for Data Science
2Statistics & Probability for Data Analysis
3Data Manipulation with Pandas & NumPy
4Data Visualization (Matplotlib, Seaborn, Plotly)
5Machine Learning Fundamentals & Algorithms
6Deep Learning with TensorFlow & PyTorch
7Natural Language Processing (NLP)
8Big Data Analytics with Apache Spark
9Cloud Platforms (AWS, Google Cloud, Azure)
10MLOps & Model Deployment
11Capstone Project & Portfolio Development
Course Duration & Mode
Duration: 4 Months
Modes: Online & Physical
Campuses: Arfa Tower, Johar Town, Gulberg
Sessions: Weekday & Weekend Batches Available
Comprehensive Course Modules
1Python Programming for Data Science
Module 1
2Statistics & Probability for Data Analysis
Module 2
3Data Manipulation with Pandas & NumPy
Module 3
4Data Visualization (Matplotlib, Seaborn, Plotly)
Module 4
5Machine Learning Fundamentals & Algorithms
Module 5
6Deep Learning with TensorFlow & PyTorch
Module 6
7Natural Language Processing (NLP)
Module 7
8Big Data Analytics with Apache Spark
Module 8
9Cloud Platforms (AWS, Google Cloud, Azure)
Module 9
10MLOps & Model Deployment
Module 10
11Capstone Project & Portfolio Development
Module 11
Who Should Attend?
Nexskill offers this course at competitive pricing with flexible installment options. Contact us for current fee structure and available discounts. Enroll online or visit your nearest campus. Early bird discounts and merit-based scholarships available for qualifying students.
Detailed Weekly Learning Schedule
📅 Schedule: 2 Interactive Sessions Per Week
Total Lectures: 20 | Duration: 2 hours each
Introduction to Data Science
2 hoursLearning Objectives:
- •Data Science lifecycle and methodology
- •Industry applications and career paths
- •Setting up Python development environment
- •Overview of data science tools and technologies
Python Programming Basics
2 hoursLearning Objectives:
- •Python syntax and data structures
- •Control flow and functions
- •Object-oriented programming concepts
- •File handling and error management
Advanced Python for Data Science
2 hoursLearning Objectives:
- •List comprehensions and lambda functions
- •Working with libraries and packages
- •Regular expressions and text processing
- •Performance optimization techniques
Statistics Fundamentals
2 hoursLearning Objectives:
- •Descriptive and inferential statistics
- •Probability distributions and hypothesis testing
- •Correlation and regression analysis
- •Statistical significance and p-values
NumPy for Numerical Computing
2 hoursLearning Objectives:
- •Array operations and broadcasting
- •Mathematical functions and linear algebra
- •Random number generation and sampling
- •Performance optimization with vectorization
Data Manipulation with Pandas
2 hoursLearning Objectives:
- •DataFrames and Series operations
- •Data cleaning and preprocessing
- •Grouping, aggregation, and merging
- •Handling missing data and outliers
Data Visualization Fundamentals
2 hoursLearning Objectives:
- •Matplotlib basics and customization
- •Statistical plots with Seaborn
- •Interactive visualizations with Plotly
- •Dashboard creation and storytelling
Exploratory Data Analysis (EDA)
2 hoursLearning Objectives:
- •Data profiling and quality assessment
- •Pattern recognition and trend analysis
- •Feature selection and engineering
- •Business insights and recommendations
Machine Learning Introduction
2 hoursLearning Objectives:
- •Supervised vs unsupervised learning
- •Training, validation, and test sets
- •Model evaluation metrics
- •Overfitting and regularization
Supervised Learning Algorithms
2 hoursLearning Objectives:
- •Linear and logistic regression
- •Decision trees and random forests
- •Support vector machines
- •Ensemble methods and boosting
Unsupervised Learning Techniques
2 hoursLearning Objectives:
- •K-means and hierarchical clustering
- •Principal component analysis (PCA)
- •Association rules and market basket analysis
- •Anomaly detection methods
Model Selection and Validation
2 hoursLearning Objectives:
- •Cross-validation techniques
- •Hyperparameter tuning with GridSearch
- •Feature importance and selection
- •Model interpretation and explainability
Deep Learning Fundamentals
2 hoursLearning Objectives:
- •Neural networks and backpropagation
- •TensorFlow and Keras basics
- •Convolutional neural networks (CNNs)
- •Recurrent neural networks (RNNs)
Natural Language Processing
2 hoursLearning Objectives:
- •Text preprocessing and tokenization
- •Sentiment analysis and classification
- •Word embeddings and transformers
- •Building chatbots and text generators
Big Data with Apache Spark
2 hoursLearning Objectives:
- •Distributed computing concepts
- •Spark DataFrames and SQL operations
- •MLlib for large-scale machine learning
- •Streaming data processing
Cloud Platforms for Data Science
2 hoursLearning Objectives:
- •AWS services for data science
- •Google Cloud AI/ML platform
- •Azure Machine Learning Studio
- •Cloud storage and compute optimization
MLOps and Model Deployment
2 hoursLearning Objectives:
- •Version control for ML projects
- •Model monitoring and maintenance
- •API development for ML models
- •Containerization with Docker
Time Series Analysis
2 hoursLearning Objectives:
- •Time series components and patterns
- •ARIMA and seasonal decomposition
- •Forecasting techniques and validation
- •Financial and business applications
Data Ethics and Privacy
2 hoursLearning Objectives:
- •Bias detection and fairness in ML
- •Data privacy regulations (GDPR, CCPA)
- •Responsible AI practices
- •Ethical decision-making frameworks
Capstone Project Development
2 hoursLearning Objectives:
- •Project planning and scope definition
- •End-to-end pipeline implementation
- •Results presentation and storytelling
- •Portfolio optimization and job preparation
Learning Outcomes
Enroll Now – Online & In-Campus Batches Starting Soon! Limited seats available. Begin your journey toward becoming a certified data scientist with Nexskill's comprehensive training program.
Why Choose Nexskill?
Perfect For These Professionals
Students interested in data analysis and machine learning
Professionals transitioning to data-driven roles
Business analysts looking to upskill in analytics
Software developers exploring AI/ML career paths
Fresh graduates seeking high-demand tech skills
Entrepreneurs wanting to leverage data for business growth
Course Fee & Enrollment
Skills You'll Master
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Master Python programming for data science applications
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Perform statistical analysis and hypothesis testing
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Build and deploy machine learning models
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Create compelling data visualizations and dashboards
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Work with big data tools and cloud platforms
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Develop end-to-end data science projects
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Get certified by Nexskill with job placement support
Ready to Become a Data Science Expert?
Why Students Choose Nexskill
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Industry-experienced data science instructors
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Hands-on learning with real datasets and case studies
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Career guidance and job placement assistance
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Latest tools and cloud platform access
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Flexible payment plans and scholarship opportunities
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Active alumni network and mentorship programs
