Hi Everyone, Needed some advice , i want to move into data science , was really drawn towards the difference models , machine learning , GCP etc, I am currently in the IT Banking domain and have 5.8 years of experience, i do have tech knowledge, programming , SQL etc , what would be the best way to prepare , study maybe a course and then apply in this new field of Data Science?

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Tons of people ask this q, there are great answers on r/datascience

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Noted , Will check it out , Thank you

My suggestion learn from any youtube channel stats,prob and for ml algos there is statquest,krish naik and many more. Learn the in and outs of any algos then jump onto kaggle. Take some interesting projects like as you are in finance you can check out Amex latest help competition at kaggle. Start with basic EDA then move onto data preprocessing(dataset is of 50 GB so you need to learn how to preprocess) and ther are excellent notebooks in kaggle. From there only learn how to do feature engineering and selection and finally start applying basic models along with hyperparameter tuning(Follow abhishek thakur yt channel guy is a legend and kaggle master).
This will sum up your journey in field of data science

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Thank you so much for the advice, will get going with this.

+1

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+1

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