| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
Data Analytics
Course |
3 Months |
60 |
60,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
Data Analytics Training Certification Course
In addition to validating your technical skills, Data Analytics Certification can help you advance your expertise. Once you are Data Analytics Certified, you’ll be eligible for perks that help you show off your achievements and keep learning. Register for exams and claim benefits at Technocation training.
Technocation provides an excellent faculty and qualified developers as there is a remarkable prospect in this field. One can make his/her Career with the help of both Data Analytics Training and establish an identity and get guidance in Rawalpindi.
Therefore, we aim to shape inspiring students with in-depth training to meet the requirements of the IT industry and build substantial grounds in Data Analytics Training by exhibiting students with various projects. Technocation also bestows the Best Data Analytics Training Course in Rawalpindi, Islamabad.
We guide people from every background to change their lives via our career-oriented short-term courses in Rawalpindi. Our evening and online course primarily focus on school, college, university students, and full/part-time employees.
Advantages of Data Analytics
- Better Decision-Making
- Increased Efficiency & Productivity
- Improved Customer Experience
- Fraud Detection & Risk Management
- Competitive Advantage
- Data-Driven Marketing Strategies
- Performance Monitoring & Optimization
Data Analytics Training Certification Course Outline
A Data Analytics course helps organizations and individuals make smarter decisions, improve efficiency, and gain valuable insights.
Module 1: Introduction to Data Analytics
- What is Data Analytics?
- Difference Between Data Analytics, Data Science & Business Intelligence
- The Data Analytics Lifecycle
- Real-World Applications of Data Analytics
Module 2: Data Collection & Cleaning
- Data Collection Methods (APIs, Databases, Web Scraping, Surveys)
- Importing Data from Different Sources (CSV, Excel, SQL, JSON)
- Data Cleaning & Preprocessing (Handling Missing Data, Removing Duplicates)
- Data Quality & Integrity Checks
Module 3: Exploratory Data Analysis (EDA)
- Understanding Data Distributions
- Summary Statistics (Mean, Median, Mode, Variance, Standard Deviation)
- Detecting & Handling Outliers
- Data Visualization Techniques (Histograms, Box Plots, Scatter Plots)
Module 4: Data Manipulation & Transformation
- Data Sorting, Filtering, and Aggregation
- Working with Dates & Time-Series Data
- Data Merging & Joins (SQL, Pandas)
- Creating New Variables & Feature Engineering
Module 5: SQL for Data Analytics
- Basics of SQL (SELECT, WHERE, ORDER BY, GROUP BY)
- Advanced Queries (Joins, Subqueries, Window Functions)
- Data Aggregation & Summarization
- Using SQL for Business Intelligence & Reporting
Module 6: Data Visualization & Reporting
- Creating Charts & Graphs in Excel & Google Sheets
- Building Dashboards in Power BI & Tableau
- Advanced Visualizations in Python (Matplotlib, Seaborn)
- Best Practices for Data Storytelling & Presentation
Module 7: Statistical Analysis & Data Insights
- Probability Distributions & Sampling Techniques
- Hypothesis Testing (T-Test, ANOVA, Chi-Square)
- Correlation & Regression Analysis
- A/B Testing for Business Decision Making
Module 8: Predictive Analytics & Machine Learning Basics
- Introduction to Machine Learning for Analytics
- Supervised vs. Unsupervised Learning
- Building Regression & Classification Models (Using Scikit-Learn)
- Evaluating Model Performance
Module 9: Big Data & Cloud Analytics
- Introduction to Big Data Technologies (Hadoop, Spark)
- Cloud-Based Data Analytics (Google BigQuery, AWS, Azure)
- Data Warehousing & ETL Processes
- Automating Data Pipelines
Final Module :Capstone Project & Certification
- Hands-on Data Analytics Project (Finance, Marketing, Healthcare, Retail)
- Data Interpretation & Business Insights
- Developing a Data Analytics Portfolio
- Course Completion Certification
Experience and Inspiring Trainers:
Our trainers bring their years of industry experience during the course. They are expert and passionate about delivering inspiring training as they know training inside out. They will advise you on all the options to make sure you get the best possible result.
Real-time Practice and Projects:
Our data analytics course is comprehensive and practical. Moreover we work on industry related projects.
Prerequisites for Data Analytics Course:
- Basic Mathematics & Statistics: Understanding of averages, percentages, probability
- Excel & Spreadsheets: Familiarity with Microsoft Excel or Google Sheets
- Logical Thinking & Problem-Solving: Ability to analyze problems and identify patterns
- Basic Programming Knowledge :Understanding of basic programming concepts like loops and functions.
- Understanding of Databases: Familiarity with relational databases
- No prior experience in data analytics is required, but having these basics will help in grasping concepts faster.
Certificate:
Finally completing this training you will receive a course completion certificate along with internship in Data Analytics Training so you can get recognition for your new skills.
Course Material:
Softy Copy notes are briefly included in this course
Support and Careers Advice:
In the end our trainers are always ready to help you for any problems or question regarding Data Analytics. We prepare students for facing Interview questions on Data Analytics and help them to build their online resume. Our more than 90% students are placed in good MNCs.
“Our Student Success is Our Mission”.
