Priyanka
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Learn the fundamentals of statistics and Python/R before moving on to data science. Use Matplotlib/Seaborn for data visualisation and Pandas for data processing practice. Study model evaluation, machine learning techniques, and big data technologies such as Hadoop and Spark. For more difficult jobs, dive into deep learning with TensorFlow/PyTorch. Complete tasks, take part in contests, and keep up with online groups and resources to promote lifelong learning.
Enroll: https://www.theiotacademy.co/advanced-certification-in-data-science-machine-learning-and-iot-by-eict-iitg