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Begin by understanding the fundamentals of Data Science, its applications, and why Python is the leading tool for data analysis and AI projects. This module also covers Python programming basics, including variables, data types, functions, loops, and libraries.
Dive deep into essential Python libraries like NumPy and Pandas to load, manipulate, and explore datasets. Learn how to clean messy data, handle missing values, and perform transformations to prepare data for analysis.
Data visualization makes insights visible. This module introduces you to Matplotlib, Seaborn, and Plotly to create charts, heatmaps, histograms, and dashboards that tell clear, impactful data stories.
Learn how to analyze datasets in-depth, identify trends, patterns, and anomalies. EDA forms the backbone of every successful data science project and helps in making data-driven decisions.
Understand how to apply basic Machine Learning algorithms using Scikit-learn. You’ll work with supervised and unsupervised learning models, including regression, classification, and clustering, and evaluate their accuracy and performance.
Apply your skills on live projects such as sales prediction, customer segmentation, and fraud detection. Finally, learn how to deploy your models and present your results effectively to stakeholders or clients.
The personalized attention I received at Mahendra Academy was amazing. The faculty are highly knowledgeable and always willing to help. I wouldn't have achieved my NEET goals without their guidance.
The study material provided was comprehensive and well-structured. The regular mock tests helped me a lot in managing my time and understanding the exam pattern.
The pre-foundation classes were really helpful in building a strong base for my future studies. The teachers are very supportive and made learning fun!