Data is the new currency and for some companies tweets have become 24 carat gold! Imagine being able to see trends and sentiments daily over any period of time desired.

IBM’s Data Science Experience attempts to democratize data science and allow any developer to create data visualizations, and analyze the sentiments used within tweets. In this developer journey we will use Jupyter notebooks to analyze Twitter data and extract interesting insights from tweets. It will easily perform complex computations on a large amount of data in a notebook by using SparkContext, which enables you to run tasks on the Spark cluster. In addition, it will integrate data from dashDB using the Spark connector and use Spark and pandas DataFrames.

Check out the entire Analyze Tweets with Jupyter Notebooks Journey, that includes code, a snappy deployment button, sample output, analysis and more!

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