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Data Science Fundamentals with Python and SQL Specialization

What you will learn

Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio
Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy
Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression
Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables

Skills you will gain

Data Science
Github
Python Programming
Jupyter notebooks
Rstudio
Data Analysis
Pandas
Numpy
Ipython
Probability And Statistics
Regression Analysis
Data Visualization (DataViz)

About this Professional Certificate

Get professional training designed by Google and prepare for a new career in the high-growth field of data analytics, no experience required.

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.

You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more.