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GLOBAL LEARNERS
ADVANCED CERTIFICATION IN DATA ANALYTICS
Start your career in data analytics by taking Advanced Certification Courses in Data Analytics from TGC. We provide a great foundation for a successful career ahead. This suits you best.
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Learn the basics of using methods and functions in Python. This module will teach you how to create reusable blocks of code that perform specific tasks, helping to make your coding process more efficient and organized.
NumPy, a powerful library in Python designed for scientific computing. You’ll learn how to use NumPy for handling large data sets with arrays, performing complex mathematical operations, and analyzing data effectively.
Explore Pandas, another essential library for data analysis in Python. This part of the course covers how to manipulate and analyze data using DataFrames and Series in Pandas, making it easier to organize and process large volumes of data.
Learn about data visualization using Matplotlib, a plotting library in Python. This module will show you how to create a variety of graphs and charts, which are essential for presenting and understanding data clearly.
Explore the basics of machine learning using the Scikit-learn library, a versatile tool for predictive data analysis in Python. This module covers foundational machine learning techniques such as regression, classification, clustering, and model evaluation, providing practical skills to implement predictive models from data.
Learn how to analyze time series data, which is essential for trends and forecasting in various industries like finance, economics, and weather forecasting. This module introduces methods to handle, process, and predict future values based on historical time series data using Python’s powerful tools and libraries.
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.