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Experience Superior Self-Paced Online Courses In Data Analytics, Python Development, Math, and Geometry.

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No Prior Experience Required

STEM (Science, Technology, Engineering and Mathematics) are the words which drive the future. NCLab courses will help you be in demand.

Data Analytics

SQL Fundamentals
Skills Learned:
  • RDBMS and SQL
  • Write basic queries
  • Order and filter data
  • Combine multiple conditions
  • Group results
  • Use aggregate functions
  • Create and manage tables
  • Insert and delete data
  • Join tables
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Advanced SQL
Skills Learned:
  • Conditional expressions
  • SQL errors
  • Text operations
  • Search-and-replace
  • Sets, relations, bags
  • Subqueries
  • Advanced joins
  • Functions
  • Data types
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Predictive Data Analytics with Python
Skills Learned:
  • Import data from CSV files
  • Work with data frames
  • Clean and manipulate data
  • Visualize and present data
  • Simple linear regression
  • Multiple linear regression
  • Logistic regression
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Computer Programming

Introduction to Computer Programming
Skills Learned:
  • Computational thinking
  • Logic and problem solving
  • Syntax and code formatting
  • Loops and conditions
  • Custom commands
  • Local and global variables
  • Recursion
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Python Fundamentals
Skills Learned:
  • Calculations with Python
  • Text string operations
  • Loops and conditions
  • Variables and functions
  • Operations with data files
  • Visualization of data
  • Using Python libraries
  • Principles of software design
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Intro to Python for Data Science
Skills Learned:
  • Using Python for calculations
  • Text strings and regular expressions
  • Tuples, lists and dictionaries
  • Python libraries
  • Working with files
  • Data visualization
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Advanced Python
Skills Learned:
  • Introduction to OOP
  • Advanced concepts of OOP
  • Recursion, binary trees
  • Anonymous lambda functions
  • Iterables, iterators, generators
  • Filters and maps. decorators
  • JSON and XML
  • Basics of working with data
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Applied Python
Skills Learned:
  • Working with Linux and a desktop IDE
  • Object-oriented programming
  • Event-driven programming
  • Advanced Python techniques
  • Software quality and testing
  • Ability to work and learn independently
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Python for Computing Syllabus
Skills Learned:
  • Using Python for calculations
  • Variables and functions
  • Logic and conditions
  • For and while loops
  • Tuples, lists, dictionaries
  • Lambda functions
  • File operations
  • Exceptions handling
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Python Text Strings and Regular Expressions Syllabus
Skills Learned:
  • Analyzing and modifying text strings.
  • Searching and replacing in text strings.
  • Working with ASCII and Unicode.
  • Working with regular expressions.
  • Metacharacters and special sequences
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Math and Geometry

Linear Algebra
Skills Learned:
  • Vector and matrix calculus
  • Systems of linear equations
  • Linear transformations
  • Eigenvectors and eigenvalues
  • Determinants, linear spaces
  • Inner product, norm, orthogonality
  • Matrix factorizations
  • Least-squares problems
  • Singular value decomposition
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Intro to 3D Geometry
Skills Learned:
  • Points, coordinates, distance
  • Vectors and vector operations
  • Working with 2D shapes
  • Angles and rotations
  • Working with 3D objects
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Engaging Courses Developed And Improved Since 2010

NCLab courses provide a smooth learning curve for all students.

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