Introduction to Data Science Training | StarAgile
Data Science Course will help you start your career as a Data Scientist and become an IBM-certified data scientist. Learn all about data analytics, tools, and operations for data science certification and meet the growing demand for these skills in the industry. The data science training will accelerate your career as it covers relevant topics to work in real-time scenarios for professionals. The online data science training program will help you learn in a structured way to gain in-depth knowledge and earn your Data Science Certification for a peak in your career. Enroll now in the best data science course with StarAgile and get placed well in great companies.
Python Programming: (20 Hours)
Introduction to Data Science using Python
Python basic constructs
Data types in python
Conditional Statements
Iterative Statements
Functions in Python
OOP in Python
File Handling
Exception Handling
Databases and SQL
Data Analysis using Python: (24 Hours)
Probability
Descriptive Statistics
Inferential Statistics
NumPy for mathematical computing
Data manipulation using Pandas
Data visualization with Matplotlib and Seaborn
Web Scraping Using Beautifulsoup
Machine Learning: (40 Hours)
Introduction to Machine Learning
Supervised Learning
Regression
Linear Regression
Multiple and Polynomial regression
Regularization, Ridge and Lasso regression
Classification
Logistic Regression
K Nearest Neighbours
Decision Trees
Naïve Bayes
Support Vector Machine
Ensemble Techniques: Random Forests, Gradient boosting machines
Unsupervised Learning
Clustering
Principal Component Analysis
AI & Deep Learning: (40 Hours)
Introduction to Deep Learning and Neural Networks
Artificial neural Networks
Neurons, Layers and Activation Functions
Convolutional neural networks
Convolution Operation, Pooling, Padding and Strides
Recurrent neural networks
LSTM, GRU
Computer Vision & Natural Language processing using CNNs & RNNs
R for data science: (12 Hours)PREVIEW
Introduction to Data Science using R
Installation and introduction to R Studio
Variables and Data types in R
Operators, Statements and expressions
Conditional Statements
Iterative Statements
Functions
Data manipulation using R (dplyr)
Data manipulation using R (dplyr)
Time series forecasting using R
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