AWS & Azure DevOps Course
8 Yrs
Skills: Ci/cd, Git, Amazon Web Services (aws), Devops, Version Control, Cloud Computing for Data Science (aws, Azure, Gcp), Azure Devops, Docker, Kubernetes, Microsoft Azure, Linux, Aws Devops



8 Yrs
Skills: Ci/cd, Git, Amazon Web Services (aws), Devops, Version Control, Cloud Computing for Data Science (aws, Azure, Gcp), Azure Devops, Docker, Kubernetes, Microsoft Azure, Linux, Aws Devops
2 Yrs
Skills: Ci/cd, Git, Aws, Cloud Computing (aws), Cloud Computing for Data Science (aws, Azure, Gcp), DevOps
1 Yrs
Skills: Full Python, Python 3, Python Basics, Ai with Python, 12th Python, Python Programming, Data Science with Python, core python
1 Yrs
Skills: Data Visualization, Python Programming, Data Science with Python, core python
1 Yrs
Skills: Basic Sql, Seaborn, Numpy, Pandas and Matplotlib, Machine Learning, Deep Learning, Data Science, Data Analysis, Data Visualization, Python Programming, Data Science with Python, SQL, statistics and probability
2.3 Yrs
Skills: Numpy, Pandas and Matplotlib, Data Analysis, Data Visualization, Python Programming, Data Science with Python, Data Analytics
6 Yrs
Skills: Python for Ml and Data Analysis, Machine Learning, Data Science, Data Science with Python
2 Yrs
Skills: Machine Learning, Data Science, Artificial Intelligence, statistics and probability
1 Yrs
Skills: Analytical Packages (ms-excel, Ms-power Bi), Eda, Python for Ml and Data Analysis, Mysql, Object Oriented Programming with Python, Seaborn, Numpy, Pandas and Matplotlib, Machine Learning, Supervised Learning, Data Science, Data Visualization, Data Wrangling, Data Cleaning, Statistical Analysis, Scikit-learn, Python Programming, Power BI, Tableau, SQL, Python for Data Science, core python, Data Analytics
2 Yrs
Skills: Big Data, Analytical Packages (ms-excel, Ms-power Bi), Cnn, Hadoop, Flask, Git, Github, Mlops, Mysql, Rnn (recurrent Neural Network), Advanced Machine Learning, Seaborn, Time Series Analysis, Numpy, Pandas and Matplotlib, Linux Basics, Ai with Python, Machine Learning, Deep Learning, Natural Language Processing (nlp), Supervised Learning, Model Deployment, Long Short-term Memory (lstm) Networks, Deep Learning Frameworks (tensorflow, Pytorch, Keras), Data Science, Data Visualization, Python Programming, Docker, Artificial Intelligence, Power BI, SQL, Python for Data Science, Data Analytics
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