One of the most sought-after occupations in computer science, data science is essential to the majority of companies. The big data era's sleuths are known as data scientists, and their job is to analyse enormous datasets to uncover important data insights. The field of data science also covers the complete life cycle of data, just like a detective is accountable for gathering evidence, analysing it, and ultimately presenting their case in court.
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Our curriculum for the Data Science Online Course introduces you to ideas of tools (45 essential technological tools), algorithms, and machine learning methods that can help you derive some useful insights from unstructured data. Students will learn about a variety of languages and technologies throughout a Python Data Science Certification in Delhi, including Python, Java, Spark, SQL, etc. Additional skill sets will be created as well, including those in Deep Learning, Machine Learning, Artificial Intelligence, Statistical Methods, data analysis, data wrangling, and Data Visualisation, among others. In addition, Data Analytics Training in Noida will make you an expert in developing real-world skills by working on projects and activities that are related to the real world and that will help you apply what you learn.
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Python Practical Training Course
Python - Variables and Data Types
Python - Other Python Operators
Python - Conditional Statements
Python - Advanced Python Tools
Advanced Statistical Methods in Python
Advanced Statistical Methods – Linear regression
Advanced Statistical Methods - Multiple Linear Regression
Advanced Statistical Methods - Logistic Regression
Advanced Statistical Methods - Cluster Analysis
Advanced Statistical Methods - K-Means Clustering
Advanced Statistical Methods - Other Types of Clustering
Deep Learning - Introduction to Neural Networks
Deep Learning - How to Build a Neural Network from Scratch with NumPy
Deep Learning - TensorFlow: Introduction
Deep Learning - Digging Deeper into NNs: Introducing Deep Neural Networks
Deep Learning – Initialization
Deep Learning - Digging into Gradient Descent and Learning Rate Schedules
Deep Learning - Classifying on the MNIST Dataset
Deep Learning - Business Case Example
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