| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
Data Analysis
Course |
3 Months |
60 |
60,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
Data Analysis Training Certification Course
In addition to validating your technical skills, Data Analysis Certification can help you advance your expertise. Once you are Data Analysis 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 Analysis 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 Analysis Training by exhibiting students with various projects. Technocation also bestows the Best Data Analysis 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 Analysis
- Better Decision-Making
- Improved Efficiency
- Identifying Trends
- Enhanced Customer Insights
- Competitive Advantage
- Risk Management
- Personalized Marketing
Data Analysis Training Certification Course Outline
A Data Analysis course enhances decision-making, efficiency, cost savings, risk management, customer insights, and competitive advantage for businesses and individuals.
Module 1: Introduction to Data Analysis
- What is Data Analysis?
- Importance of Data-Driven Decision Making
- Types of Data (Structured vs. Unstructured)
- Overview of Data Analysis Tools (Excel, SQL, Python, R, Power BI)
Module 2: Data Collection & Cleaning
- Data Sources: Databases, APIs, Web Scraping, Surveys
- Importing Data from Different Formats (CSV, JSON, SQL, Excel)
- Handling Missing Data & Duplicates
- Data Cleaning Techniques using Python (Pandas) & Excel
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 Filtering, Sorting, and Aggregation
- Working with Dates & Time-Series Data
- Merging & Joining Datasets
- Using SQL for Data Transformation (GROUP BY, JOIN, Subqueries)
Module 5: Data Visualization & Reporting
- Creating Charts & Graphs in Excel & Google Sheets
- Advanced Visualizations using Python (Matplotlib, Seaborn)
- Dashboards & Interactive Reports in Power BI & Tableau
- Best Practices for Data Storytelling
Module 6: Statistical Analysis for Data Insights
- Introduction to Descriptive & Inferential Statistics
- Hypothesis Testing (T-Test, Chi-Square, ANOVA)
- Correlation & Regression Analysis
- Predictive Analytics & Trend Analysis
Module 7: Introduction to Machine Learning for Data Analysis
- Overview of Machine Learning in Data Analysis
- Supervised vs. Unsupervised Learning
- Using Scikit-Learn for Simple Predictions
- Feature Engineering & Model Evaluation
Module 8: Big Data & Advanced Techniques
- Introduction to Big Data & Cloud-Based Analysis
- Working with Large Datasets (Hadoop, Spark)
- Data Pipelines & Automation
- AI & Data Analysis Integration
Final Module :Capstone Project & Certification
- Hands-on Data Analysis Project (Business, Healthcare, Finance, Marketing)
- Interpreting & Presenting Findings
- Building 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 analysis course is comprehensive and practical. Moreover we work on industry related projects.
Prerequisites for Data Analysis 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 of Python, R, or SQL for handling large datasets
- Understanding of Databases: Familiarity with relational databases
- No prior experience in data analysis 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 Analysis 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 Analysis. We prepare students for facing Interview questions on Data Analysis and help them to build their online resume. Our more than 90% students are placed in good MNCs.
“Our Student Success is Our Mission”.
