Become a certified Data Analytics expert with our comprehensive Data Analytics course in Lahore, offered by Nexskill Online Online.
Course Flow or Roadmap
Launch your career with the Data Analytics course in Lahore at Nexskill Online Online. This course provides hands-on experience with data collection, analysis, visualization, and machine learning techniques. 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 statistical analysis, data visualization tools, and predictive modeling, empowering you to make data-driven decisions and extract meaningful insights from complex datasets.
What Does a Data Analyst 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 high-quality e-learning platform and live instructor sessions.
Module Topics
A Data Analyst collects, processes, and analyzes data to help organizations make informed business decisions. They create visualizations, identify trends and patterns, perform statistical analysis, and present insights to stakeholders. These professionals work with various tools like SQL, Python, Excel, Tableau, and Power BI to transform raw data into actionable intelligence that drives business strategy, improves operations, and identifies growth opportunities across industries.
Course Curriculum Overview
1Statistics & Data Analysis Fundamentals
2Excel for Data Analysis & Modeling
3SQL Database Querying & Management
4Python Programming for Data Science
5R Programming & Statistical Computing
6Data Visualization with Tableau & Power BI
7Machine Learning & Predictive Analytics
8Big Data Technologies (Hadoop, Spark)
9Data Mining & Text Analytics
10Capstone Project & Portfolio Development
Course Duration & Mode
Duration: 3 Months
Modes: Online & Physical
Campuses: Arfa Tower, Johar Town, Gulberg
Sessions: Weekday & Weekend Batches Available
Comprehensive Course Modules
1Statistics & Data Analysis Fundamentals
Module 1
2Excel for Data Analysis & Modeling
Module 2
3SQL Database Querying & Management
Module 3
4Python Programming for Data Science
Module 4
5R Programming & Statistical Computing
Module 5
6Data Visualization with Tableau & Power BI
Module 6
7Machine Learning & Predictive Analytics
Module 7
8Big Data Technologies (Hadoop, Spark)
Module 8
9Data Mining & Text Analytics
Module 9
10Capstone Project & Portfolio Development
Module 10
Who Should Attend?
Nexskill Online Online offers this course at competitive rates with flexible payment options. Contact us for current fee structure. Enroll online or visit your nearest campus today. 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 Analytics
2 hoursLearning Objectives:
- •Understanding data analytics landscape
- •Types of data and analytics approaches
- •Career opportunities in data analytics
- •Setting up analytics environment
Statistics Fundamentals
2 hoursLearning Objectives:
- •Descriptive and inferential statistics
- •Probability distributions and sampling
- •Hypothesis testing and confidence intervals
- •Correlation and regression analysis
Excel for Data Analysis
2 hoursLearning Objectives:
- •Advanced Excel functions and formulas
- •Pivot tables and data summarization
- •Statistical analysis and modeling
- •Dashboard creation and automation
SQL Database Fundamentals
2 hoursLearning Objectives:
- •Database concepts and structure
- •Basic SQL queries and operations
- •Joins, subqueries, and aggregations
- •Data manipulation and cleaning
Advanced SQL for Analytics
2 hoursLearning Objectives:
- •Window functions and CTEs
- •Performance optimization techniques
- •Stored procedures and functions
- •Working with different database systems
Python Programming Basics
2 hoursLearning Objectives:
- •Python syntax and data structures
- •Control flow and functions
- •File handling and error management
- •Libraries and package installation
Python for Data Science
2 hoursLearning Objectives:
- •NumPy for numerical computing
- •Pandas for data manipulation
- •Data cleaning and preprocessing
- •Working with APIs and web scraping
Data Visualization with Python
2 hoursLearning Objectives:
- •Matplotlib for basic plotting
- •Seaborn for statistical visualization
- •Interactive plots with Plotly
- •Best practices in data visualization
R Programming Introduction
2 hoursLearning Objectives:
- •R syntax and RStudio environment
- •Data types and structures in R
- •Statistical functions and packages
- •Data import and export methods
Statistical Analysis with R
2 hoursLearning Objectives:
- •Advanced statistical modeling
- •Time series analysis
- •ggplot2 for data visualization
- •R Markdown for reporting
Tableau Desktop Fundamentals
2 hoursLearning Objectives:
- •Tableau interface and data connections
- •Creating basic charts and graphs
- •Filters, parameters, and calculations
- •Dashboard design principles
Advanced Tableau Techniques
2 hoursLearning Objectives:
- •Advanced calculations and LOD expressions
- •Interactive dashboards and stories
- •Performance optimization
- •Publishing and sharing visualizations
Power BI for Business Intelligence
2 hoursLearning Objectives:
- •Power BI ecosystem and components
- •Data modeling and relationships
- •DAX functions and measures
- •Report creation and sharing
Machine Learning Fundamentals
2 hoursLearning Objectives:
- •Supervised vs unsupervised learning
- •Regression and classification algorithms
- •Model evaluation and validation
- •Feature selection and engineering
Advanced Machine Learning
2 hoursLearning Objectives:
- •Ensemble methods and boosting
- •Clustering and dimensionality reduction
- •Neural networks introduction
- •Model deployment strategies
Big Data Technologies Overview
2 hoursLearning Objectives:
- •Hadoop ecosystem and HDFS
- •Apache Spark for big data processing
- •NoSQL databases introduction
- •Cloud analytics platforms
Data Mining Techniques
2 hoursLearning Objectives:
- •Association rules and market basket analysis
- •Text mining and sentiment analysis
- •Web analytics and social media data
- •Anomaly detection methods
Business Intelligence & Reporting
2 hoursLearning Objectives:
- •KPI development and measurement
- •Executive dashboard design
- •Automated reporting systems
- •Data storytelling techniques
Data Ethics & Governance
2 hoursLearning Objectives:
- •Data privacy and security principles
- •Ethical considerations in analytics
- •Data quality and governance frameworks
- •Compliance and regulatory requirements
Capstone Project Development
2 hoursLearning Objectives:
- •Project planning and scope definition
- •End-to-end analytics workflow
- •Presentation and communication skills
- •Portfolio development and showcase
Learning Outcomes
Enroll Now – Online & In-Campus Batches Available! Limited seats per batch. Begin your journey toward mastering data analytics and business intelligence with Nexskill Online Online.
Why Choose Nexskill Online Online?
Perfect For These Professionals
Business professionals seeking data-driven insights
Fresh graduates interested in analytics careers
Marketing and finance professionals
Students pursuing data science specialization
Entrepreneurs needing business intelligence skills
Career changers exploring analytics opportunities
Course Fee & Enrollment
Skills You'll Master
✓
Master statistical analysis and data interpretation
✓
Gain expertise in SQL, Python, R, and Excel
✓
Create professional visualizations using Tableau and Power BI
✓
Build and deploy machine learning models
✓
Develop comprehensive analytics portfolio
✓
Understand data ethics and governance practices
✓
Get certified by Nexskill Online Online with job placement assistance
Ready to Become a Data Analytics Expert?
Why Students Choose Nexskill Online
★
Industry-experienced instructors with analytics expertise
★
Hands-on learning with real business datasets
★
Career counseling and job placement support
★
Latest analytics tools and software training
★
Flexible payment plans and scholarship options
★
Strong alumni network and industry connections
