Pragmatic Data Curriculum

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Essential Tools

Americans use more than 3 million GB of internet data every minute. It’s essential that companies have the right data science tools and techniques to take on the competition. Whether you have dabbled in data science over the years or are a complete novice, having the right skills can make all the difference to your job and your company.

Data Science I: Essential Tools
is a 3-day boot camp course that teaches students hands-on data science with Python. Create scripts to perform data analysis and manipulation, produce visualizations and more. This course gives students greater knowledge of programming in Python for data analysis, so they can dive into their data and uncover greater insights, automate tedious tasks and encourage data-driven decision making.

Download a copy of the syllabus to convince your manager the importance of this course
Business Benefits

Data science is changing the way business is done. Gain the tools and knowledge you need to answer more complicated business questions and uncover greater insights. Automate tedious and time-consuming tasks so you can focus on enhancing your products and your company. Move beyond the limits of traditional spreadsheet applications, learn to showcase your expanded results in clear and understandable visual formats and get a head start in this in-demand field.

 Who Should Attend

Analysts and related positions who have reached the limits of spreadsheets and desire to expand, as well as those interested in pursuing a career in data science

 Key Concepts Covered

Python and relevant packages, data analysis and manipulation, automation of tasks and programs

 Prerequisites

To achieve the greatest benefit from this course, students should have the following skills:

  • Basic boolean algebra, such as concepts of “or” and “and”
  • Understanding conditional statements
  • Basic statistical definitions (mean, median, mode)
  • Basic linear algebra (metrics, arrays)
  • Common file formats like Comma Separated Values (CSV)
Earn a coveted data science certification upon successful completion of class project
What You'll Learn
Over the course of 3 days, you'll get your hands dirty with live code and real programs you can use to build your own models.

Essentials of Python
for data science
  • Construct variables in Python and understand commonly used data structures like lists and dictionaries
  • Perform iterations in Python to easily apply a process over multiple values
  • Encapsulate a process into a function to streamline and reduce repetition
  • Utilize if/else statements to handle various cases and conditions
  • Understand string data types and common operations applied to strings
  • Express complicated pattern matching using regular expressions to find and replace text

Object-oriented programming (OOP) and NumPy and Pandas Python packages
  • Understand how OOP is implemented and used throughout Python and its packages
  • Use NumPy ndarray data structures for fast, multidimensional numerical operations
  • Utilize Pandas’ data structures and easily load CSV and Excel files as Pandas dataframes
  • Combine tables across multiple spreadsheets into one dataframe
  • Easily handle missing entries/data with Pandas, and utilize multiple methods to replace the missing values

Advanced techniques with Pandas and task automation
  • Use grouping operations in Pandas to create groups within a dataframe and apply operations like aggregating functions to those groups
  • Use NumPy functions in Pandas and understand the connection between them
  • Utilize manipulation and analysis tools in Pandas for times series
  • Up and down sample time series to change frequency, and understand time series transformations like rolling and moving window statistics
  • Visualize data analysis results using
    • Matplotlib to create line and scatter plots, histograms and bar charts
    • Seaborn package to generate statistically focused plots

Ready to take on the future of data?

Pricing

Public Training
$3,185 USD
For the 3-Day Course

Early-bird discounts available


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Check out this podcast featuring Becky Tucker, Ph.D., senior data scientist at Netflix. See how she got her start and wound up at the world’s largest streaming service. Listen now

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