That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python.

Data analysis, visualization, and storytelling are essential skills that shape modern business decisions.Strong communication ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

The skills you need to be a data analyst include excellent communication, decision-making, problem-solving, predictive modeling and database management skills, along with knowledge of programming ...

“Applied Data Science Specialization,” another course by IBM, fast tracks data science beginners towards skills with real-life applications. Python skills for data analysis and visualisation ...

"Solve 100 Python Exercises to Boost Your Python Skills" actually has beginner-level exercises, as well. But you'll also be ready for "Learn Python for Data Analysis & Visualization" and "Data ...

The folks at CrowdFlower recently did an analysis of the 3,490 postings for data science jobs on LinkedIn, and sorted out the top 21 individual skills that appear most often. Some of the results were ...

In fact, as a recent Terence Shin analysis of more than 15,000 data scientist job postings suggests, Python adoption keeps growing even as the more specialist R language is in decline.