The Python programming language has emerged as a popular tool for Data Science due to its simplicity, versatility, and powerful data analysis libraries.

Multisoft Virtual Academy offers an online Data Science with Python training and certification course that covers the following syllabus:

(1.)Introduction to Data Science: This module provides an overview of Data Science, its applications, and the various tools and technologies used in this field.

(2.)Python Basics: This module covers the basics of Python programming language, including variables, data types, operators, control structures, functions, and file handling.

(3.)Numpy: This module introduces the Numpy library, which is used for numerical computing in Python. It covers topics such as creating arrays, array indexing, array manipulation, and array broadcasting.

(5.)Pandas: This module covers the Pandas library, which is used for data manipulation and analysis. It covers topics such as reading and writing data, data indexing, data filtering, data aggregation, and data visualization.

(6.)Data Visualization: This module covers various data visualization techniques using the Matplotlib and Seaborn libraries. It covers topics such as creating line plots, scatter plots, bar plots, histograms, and heatmaps.

(7.)Machine Learning: This module covers the basics of Machine Learning, including supervised learning, unsupervised learning, and reinforcement learning. It covers topics such as linear regression, logistic regression, decision trees, random forests, k-means clustering, and principal component analysis.

(8.)Deep Learning: This module covers the basics of Deep Learning, including artificial neural networks, convolutional neural networks, and recurrent neural networks. It covers topics such as image classification, text classification, and sequence prediction.

(9.)Natural Language Processing: This module covers the basics of Natural Language Processing, including text preprocessing, text representation, and text classification. It covers topics such as sentiment analysis, topic modeling, and named entity recognition.

(10.)Project: This module provides an opportunity for students to apply their learning to a real-world project. They will work on a Data Science project using Python and present their findings.

The Data Science with Python online training and certification course by Multisoft Virtual Academy is designed for professionals who want to learn Data Science using Python. The course is suitable for Data Analysts, Data Scientists, Business Analysts, and IT professionals who want to enhance their skills and knowledge in this field. Upon completion of the course, participants will receive a certificate of completion from Multisoft Virtual Academy.

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