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GLOBAL LEARNERS
ADVANCED CERTIFICATION IN PYTHON WITH DATA SCIENCE & MACHINE LEARNING
This Machine Learning Course in Delhi Is the Most Comprehensive Machine Learning Course with a Scope of Learning Data science course, Data Visualisation Along Core Concepts of Python. It Aims to Acquaint the Student
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This module sets the stage, introducing the significance, applications, and impact of data science across various industries. It covers the fundamental concepts, tools, and practices essential for entering the field.This module sets the stage, introducing the significance, applications, and impact of data science across various industries. It covers the fundamental concepts, tools, and practices essential for entering the field.
A deep dive into the programming languages pivotal to data science, with a focus on Python and R. Python is highlighted for its simplicity and the extensive ecosystem of libraries, while R is noted for its application in statistical analysis and graphical models.A deep dive into the programming languages pivotal to data science, with a focus on Python and R. Python is highlighted for its simplicity and the extensive ecosystem of libraries.
Covers the mathematical and statistical foundations necessary for data science, including calculus, linear algebra, descriptive and inferential statistics, hypothesis testing, and statistical models and methods.Covers the mathematical and statistical foundations necessary for data science, including calculus, linear algebra, descriptive and inferential statistics, hypothesis testing, and statistical models and methods.
This module covers a wide spectrum of algorithms and models central to understanding and creating intelligent systems. Starting with the fundamentals of machine learning, students learn about supervised and unsupervised learning techniques, exploring algorithms such as linear regression, logistic regression, decision trees, and support vector machines. The journey continues into deep learning.
In the realm of data science, the ability to effectively manage and present data is as critical as the ability to analyze it. This module emphasizes the full lifecycle of data management, from the initial stages of data collection and cleaning to storage and retrieval mechanisms. Techniques for handling large datasets, ensuring data quality, and data preprocessing are thoroughly covered.
The Practical Applications module in a data science curriculum is pivotal, bridging the gap between theoretical knowledge and real-world practice. This module is meticulously designed to ensure that students not only understand data science concepts but can also apply them effectively in solving complex problems. Here’s an expanded viewInternships offer invaluable hands-on experience, allowing students to
Data science is at the heart of advancements in artificial intelligence, machine learning, and big data analytics, shaping the future of technology. machine learning, and big data analytics, shaping the future of technology.
Data science is one of the fastest-growing fields, with a projected job growth rate significantly higher than the average for all occupations. This growth is driven by the increasing reliance on data across various industries for decision-making and strategic planning.
Due to the high demand and the specialized skill set required, data science professionals often command high salaries. Senior roles, such as Chief Data Officers, can command even higher salaries,
Data scientists have the unique opportunity to make significant impacts within their organizations and on global challenges. From automating processes and driving efficiencies to tackling climate change and supporting medical research,
With every sector generating data, the need for data science expertise spans across industries. This diversity offers professionals the flexibility to work in areas that match their interests and passions, whether that's in tech, finance, healthcare, sectors.
Data science sits at the heart of innovation, especially in emerging technologies like machine learning and artificial intelligence (AI). Data scientists play a crucial role in developing algorithms
WHAT OUR STUDENTS HAS TO SAY
Python programmers are in high demand across various industries, including software development, data science, machine learning, web development, cybersecurity, and more.
This course is suitable for beginners with no prior programming experience as well as professionals looking to enhance their skills in Python programming.
You will learn the fundamentals of Python programming, including data types, variables, control flow, functions, and object-oriented programming
You will need access to a computer with an internet connection. We will provide all necessary software and resources for the course, including instructions for installation and setup.
Yes, upon successful completion of the course and passing the final assessment, you will receive a certificate of completion to showcase your proficiency in Python programming.
You will have access to our online learning platform, where you can interact with instructors and fellow students, ask questions, and receive feedback on your progress.