A data science course in Pune typically includes a wide range of tools and technologies designed to equip learners with the skills required for data manipulation, analysis, visualization, and machine learning. Some of the key tools and technologies taught in a data science course include:
Python: Widely used for data analysis, visualization, and machine learning (e.g., libraries like NumPy, pandas, and Scikit-learn).
R: For statistical computing, data analysis, and visualization.
Tableau: For creating interactive dashboards and visualizations.
Power BI: For business intelligence and data visualization.
Matplotlib & Seaborn (Python): For detailed visual representation of data.
Hadoop: For handling large datasets across distributed systems.
Spark: For fast, in-memory processing of big data.
SQL: For querying and managing relational databases.
NoSQL Databases (e.g., MongoDB): For working with unstructured data.
TensorFlow: For deep learning and neural networks.
Keras: For building and training machine learning models.
Scikit-learn: For machine learning algorithms and preprocessing.
Excel: For simple data manipulation and analysis.
OpenRefine: For cleaning messy data.
AWS: For cloud-based data storage and machine learning services.
Google Cloud: For scalable data analysis and ML tools.
Microsoft Azure: For cloud data processing and AI.
Git: For collaborative coding and version management.
GitHub: For storing and sharing code repositories.
Jupyter Notebook: For interactive Python programming.
Anaconda: For managing Python libraries and environments.
These tools and technologies are integrated into data science courses through real-world projects, hands-on labs, and case studies, ensuring learners gain practical experience alongside theoretical knowledge.
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Website: Data Science Course in Pune