Data Science Reading List – Miscellaneous

[vc_row][vc_column][title]Data Science Reading List – Other Useful Books[/title][vc_empty_space][content_box]Not everything on your Data Science reading list should be about technical skills. Here are some miscellaneous books I found useful for all the soft skills you will need to make your work a success.[/content_box]


Flawless Consulting: A Guide to Getting Your Expertise Used

[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column width=”1/3″][vc_single_image source=”external_link” onclick=”custom_link” custom_src=”,204,203,200_.jpg” link=””%5D%5B/vc_column%5D%5Bvc_column width=”2/3″][vc_column_text]Even the best data science will fail if its benefits cannot be communicated and understood. Regardless of whether your job title is consultant or not, we are all consultants to the extent that we wish to influence others and have our opinions and ideas accepted. Peter Block’s book gives an amazing guide to consulting including how to work with peers, difficult clients and others. The book emphasises the idea that success is based on authentic behaviours that establish trust and great working relationships. This is the consultant’s bible but everybody can learn something from it.[/vc_column_text][/vc_column][/vc_row]


Herding Chickens: Innovative Techniques for Project Management

[vc_row][vc_column width=”1/3″][vc_single_image source=”external_link” onclick=”custom_link” custom_src=”,204,203,200_.jpg” link=”“][/vc_column][vc_column width=”2/3”][vc_column_text]Project Management is one of those disciplines that is underappreciated and often mis-understood. But how can you deliver projects if you cannot manage them? Dan Bradbary’s book is an entertaining and well written guide to managing projects. You’ll learn all about key project artefacts, how to communicate progress, how to resource a team, how to anticipate and manage risks. This is my go-to book for what can often be a dry and overwhelmingly dense topic.[/vc_column_text][/vc_column][/vc_row]


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