Advance Data Science Training for Professionals

About Course
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Data Wrangling & Preprocessing
- Clean, transform, and prepare data for analysis using Python, R, and SQL.
- Handle structured and unstructured datasets efficiently.
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Exploratory Data Analysis & Visualization
- Discover trends and patterns using mathematical statistics and data visualization tools.
- Create interactive dashboards with Power BI, Tableau, and Matplotlib.
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Machine Learning & AI
- Understand supervised and unsupervised learning algorithms.
- Train predictive models using Scikit-learn, TensorFlow, and PyTorch.
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Big Data & Cloud Computing
- Process and manage large datasets with Spark and Hadoop.
- Deploy scalable data solutions on cloud platforms like AWS, Azure, and Google Cloud.
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Live Training & One-to-One Mentoring
- Participate in live training sessions with industry professionals.
- Receive personalized mentoring for skill development and career guidance.
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Hands-On Projects & Case Studies
- Work on real-world data science projects in areas like healthcare, finance, and e-commerce.
- Apply knowledge to solve business problems using machine learning and analytics.
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Interview Preparation & Placement Assistance
- Get ready for data science job interviews with mock sessions and expert coaching.
- Receive placement assistance to secure roles in AI, analytics, and data-driven industries.