What will i learn?
- Ability to Clean, Organize, and Analyze Real-World Data
- Proficiency in Excel, Python, and Pandas for Data Manipulation
- Create Data Visualizations and Dashboards
- Job-Readiness for Tech Roles
- Certification & Interview Preparation
Curriculum for this course
53 Lessons
00:00:00 Hours
Duration
4 Lessons
00:00:00 Hours
- Course Duration: 6 Months 00:00:00
- Mode: Available in Offline & Online 00:00:00
- Level: Beginner to Intermediate 00:00:00
- Get 40% OFF by enrolling in the online training mode! 00:00:00
Module 1: Introduction to Data Analysis
5 Lessons
00:00:00 Hours
- What is Data Analysis? 00:00:00
- Data Lifecycle and Roles in Analytics 00:00:00
- Types of Data: Structured vs Unstructured 00:00:00
- Real-World Applications of Data Analysis 00:00:00
- Introduction to Tools: Excel, Python, Pandas 00:00:00
Module 2: Microsoft Excel for Data Analysis
8 Lessons
00:00:00 Hours
- Excel Interface and Navigation 00:00:00
- Data Entry and Formatting 00:00:00
- Sorting, Filtering, and Conditional Formatting 00:00:00
- Formulas and Functions (VLOOKUP, IF, SUMIF, etc.) 00:00:00
- Charts and Graphs in Excel 00:00:00
- Pivot Tables and Pivot Charts 00:00:00
- Basic Dashboards in Excel 00:00:00
- Data Validation and Protection 00:00:00
Module 3: Introduction to Python for Data Analysis
6 Lessons
00:00:00 Hours
- Setting Up Python and IDE (Jupyter/VS Code) 00:00:00
- Python Basics: Variables, Data Types, Operators 00:00:00
- Control Flow (if, for, while) 00:00:00
- Functions and Modules 00:00:00
- Working with Files and Exception Handling 00:00:00
- Introduction to Lists, Dictionaries, Sets 00:00:00
Module 4: Data Handling with Pandas & NumPy
7 Lessons
00:00:00 Hours
- Introduction to NumPy Arrays and Operations 00:00:00
- Series and DataFrames in Pandas 00:00:00
- Reading CSV, Excel, and JSON Files 00:00:00
- Data Cleaning: Handling Nulls, Duplicates, and Inconsistencies 00:00:00
- Filtering, Sorting, Grouping, and Aggregation 00:00:00
- Merging and Joining Datasets 00:00:00
- Applying Functions and Lambda Expressions 00:00:00
Module 5: Data Visualization & Exploration
6 Lessons
00:00:00 Hours
- Introduction to Matplotlib and Seaborn 00:00:00
- Line, Bar, Pie, Histogram, and Box Plots 00:00:00
- Plot Customization and Styling 00:00:00
- Exploring Relationships: Scatter Plots and Heatmaps 00:00:00
- Trend Analysis and Distribution Plots 00:00:00
- Building Visual Reports for Presentation 00:00:00
Module 6: Descriptive Statistics and Insights
6 Lessons
00:00:00 Hours
- Measures of Central Tendency (Mean, Median, Mode) 00:00:00
- Measures of Dispersion (Range, Variance, Standard Deviation) 00:00:00
- Frequency Distribution and Percentiles 00:00:00
- Correlation and Covariance 00:00:00
- Interpreting Summary Statistics in Analysis 00:00:00
- Basic Probability Concepts and Use Cases 00:00:00
Module 7: Real-World Data Projects
6 Lessons
00:00:00 Hours
- Project 1: Sales Data Analysis (Excel + Visualization) 00:00:00
- Project 2: Customer Segmentation (Pandas + Plotting) 00:00:00
- Project 3: Employee Data Insights (Excel + Python) 00:00:00
- Capstone Project: Business Decision Dashboard 00:00:00
- Presentation of Findings 00:00:00
- Final Review & Feedback 00:00:00
Module 8: Career Preparation & Certification
5 Lessons
00:00:00 Hours
- Resume Building for Data Roles 00:00:00
- Interview Preparation (Analytics Questions + Tools) 00:00:00
- LinkedIn Optimization and Job Search Tips 00:00:00
- Certification Assessment 00:00:00
- Placement Support Overview 00:00:00
Requirements
- A Laptop or Desktop
- Basic Computer Knowledge
- No prior coding experience is required
- Willingness to Learn and Practice
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Description
The Data Analysis Training, offered by Udeck Services, is designed to equip learners with the practical skills needed to work confidently with data in real-world environments. Whether you’re a student, job-seeker, or professional looking to transition into analytics, this course helps you build a strong foundation in data analysis using tools like Excel, Python, Pandas, NumPy, and Matplotlib.
You'll learn how to clean messy data, perform exploratory data analysis, create insightful reports, and visualize trends effectively. With step-by-step guidance and real-world datasets, you’ll gain hands-on experience in solving business problems through data. The training also includes exercises and projects that simulate actual industry scenarios.
This program is a great starting point for anyone aspiring to become a Data Analyst, Business Analyst, or enter the Data Science field with confidence.
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