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Understand what Data Science is, its career scope, applications in various industries, and how it drives business growth. Get familiar with the data science workflow and tools.
Learn how to collect, clean, and preprocess data using Python libraries like Pandas and NumPy. You’ll deal with missing data, handle duplicates, and convert raw data into structured, usable formats.
Master the art of visualizing complex data using tools like Matplotlib, Seaborn, and Plotly. Build interactive charts, heatmaps, and business dashboards to communicate insights visually.
Dig deeper into your data by performing EDA to identify trends, outliers, and hidden relationships. Use visual and statistical methods to understand what your data is saying before modeling it.
Get introduced to core Machine Learning concepts like supervised and unsupervised learning. Apply algorithms like Linear Regression, Decision Trees, and K-Means Clustering using Scikit-learn.
Work on industry-based projects like customer segmentation, sales forecasting, and fraud detection. Apply everything you’ve learned, and gain experience working with real datasets and business scenarios.
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!