Getting Digital

200+ Days: The Complete Pro AIMLDL & Data Science Bootcamp

Master programming & development from fundamentals to advanced concepts with this comprehensive course.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of programming & development
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of programming & development
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in programming & development
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

This 200+ day globally recognized, industry-focused bootcamp is your all-in-one training for mastering Artificial Intelligence, Data Science, Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) from beginner to expert level with simplicity and depth. Designed for aspiring data scientists, software engineers, AI professionals, and innovation leaders, this course offers a blend of foundational theory, programming practice, machine learning applications, and real-world project. The curriculum aligns with current global AI trends and industry hiring standards.

Whether you're targeting top roles in global tech firms, launching an AI-powered startup, or aiming to build a strong data science portfolio this bootcamp ensures you stay ahead in the global AI race. Core Modules (SEO Keywords: Data Science, Python, AI, Machine Learning, Generative AI)Data Science FundamentalsData Science Sessions Part 1 & 2 - Foundation of modern data science methodologies and approaches. Data Science vs Traditional Analysis - Comparing data science techniques with conventional statistical methods.

Data Scientist Journey Parts 1 & 2 - Skills, roles, and global career pathways. Data Science Process Overview - End-to-end project lifecycle and workflows. Programming Essentials (Python & R for Data Science)Introduction to Python for Data Science - Syntax, structures, and data analysis workflows.

Python Libraries: Numpy, Pandas, Matplotlib, Seaborn - Building blocks for data processing and visualization. Introduction to R - Fundamentals of R programming for statistics and machine learning. Data Structures and Functions - Hands-on practice in Python & R for real-world data operations.

Provider
Udemy
Estimated Duration
20-40 hours
Language
English
Category
Technology & Programming

Topics Covered

Programming & DevelopmentData ScienceComplete Course

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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