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Complete Python Data Science & Machine Learning Bootcamp
The Complete Python Data Science & Machine Learning Bootcamp is …
What you'll learn
Python programming fundamentals and best practices for data science
Data handling and manipulation using NumPy and Pandas
Data visualization using Matplotlib and Seaborn
Exploratory Data Analysis (EDA) to discover patterns and insights
Data cleaning, handling missing values, and outlier treatment
Statistical concepts including probability, distributions, and hypothesis testing
Feature engineering techniques such as scaling, encoding, and binning
Machine learning algorithms and their practical applications
Model evaluation and performance improvement techniques
Building and deploying machine learning projects using Flask and AWS
Free
Complete Digital Electronics: From Fundamentals to GATE Level
This Digital Electronics course is carefully designed to build strong …
What you'll learn
Understand and perform number system conversions, codes, and computer arithmetic used in digital systems
Apply Boolean algebra laws, De Morgan’s theorems, SOP & POS forms for logic simplification
Minimize logic functions using Karnaugh Maps (2 to 5 variables) with don’t-care conditions
Design and analyze combinational circuits such as adders, subtractors, multiplexers, decoders, and encoders
Explain and implement sequential circuits, including flip-flops, counters, and timing concepts
Solve GATE and university-level numerical problems confidently using shortcut techniques
Understand ADC, DAC, and signal conversion performance parameters for real-world applications
Gain working knowledge of Programmable Logic Devices (PLA, PAL, FPGA) and modern digital system design
-67%
Mern Stack Mastery: Learn from Scratch to advanced
MERN Stack Mastery: Learn from Scratch to Advanced is an …
What you'll learn
Build responsive and modern user interfaces using HTML, CSS, and React.js
Master JavaScript fundamentals and ES6+ concepts for dynamic web applications
Develop secure and scalable backend APIs using Node.js and Express.js
Design and manage databases with MongoDB, including CRUD operations and data modeling
Connect frontend and backend to create end-to-end full-stack applications
Implement state management, forms, and event handling in React
Understand authentication, middleware, and RESTful API architecture
Build and deploy real-world MERN stack projects with industry best practices
-50%
Complete Data Analyst Roadmap: From Beginner to Job-Ready
Complete Data Analyst Roadmap: From Beginner to Job-Ready is a …
What you'll learn
Analyze and organize data efficiently using Excel formulas, pivot tables, and dashboards.
Write SQL queries to filter, aggregate, and analyze data from relational databases.
Work with real datasets to clean, transform, and prepare data for analysis.
Use Python fundamentals for data analysis and problem solving.
Perform data manipulation using NumPy and Pandas.
Create meaningful data visualizations using Matplotlib and Seaborn.
Build interactive dashboards and reports using Power BI.
Complete industry-oriented projects and build a job-ready analytics portfolio.
Free
Complete DBMS: Basics To Advanced
This comprehensive DBMS course is designed to help you build …
What you'll learn
Developed a thorough understanding of data, information, databases, and core DBMS concepts.
Gained knowledge of various database types, including relational, NoSQL, distributed, and cloud-based systems.
Mastered DBMS architecture, levels of data abstraction, schema types, and principles of data independence.
Acquired expertise in designing tables and applying keys and constraints, including primary, foreign, candidate, and super keys.
Learned to create detailed ER diagrams encompassing entities, attributes, relationships, specialization, generalization, and aggregation.
Achieved proficiency in normalization techniques from 1NF to BCNF for efficient database design.
Enhanced SQL skills, including CRUD operations, complex queries, joins, table creation, and enforcing constraints.
Understood advanced DBMS concepts such as transactions, concurrency control, indexing, query optimization, backup, recovery, and database security.
-45%
Python Programming for Data Analytics: Learn Basics to Advanced
Why Purchase “Python Programming for Data Analytics: Learn Basics to …
What you'll learn
Learn complete Python fundamentals, including variables, loops, functions, and file handling.
Understand and apply Python data structures such as lists, tuples, sets, and dictionaries.
Build strong programming skills with Object-Oriented Programming (OOPS).
Perform data analysis using industry-standard libraries like NumPy and Pandas.
Create professional charts and graphs using Matplotlib and Seaborn for data visualization.
Develop real-world problem-solving and debugging skills to write clean, efficient code.
