Data Analysis Using Python
Data Analysis Using Python by Total Cyber Solutions
Python can be easy to pick up whether you’re a first-time programmer or experienced with other languages. Python is used in a wide range of technologies and business applications such as AI, Scientific Computing and Cybersecurity. Another side of Python that is growing in popularity is Data Analytics.
Why Python?
Python is flexible, has a vast collection of libraries, provides graphics and date visualization and has broad community support. Python will take you to the next level in your Programming or Data Analysis career.
Analyzing data is not something as simple as organizing by column or finding certain cells. It’s looking at patterns, cleaning out unnecessary data and finding new data. Businesses are looking for industry leaders to help them find market-leading avenues to new revenue. With a Total Cyber Data Analysis with Python Program, you will be the person they are looking for.
Industry Leading Language
Refine your skills and learn the industry standards and best practices to elevate your Desktop Support career.
New Opportunities
A certificate from our Data Analytics Using Python program will help you show employers you have outstanding skills in Python and data analytics.
Learn the Newest Techniques
Python is an open-source language, new developments are always being made. Our instructors will teach you the newest techniques.
Make Yourself Standout
Having experience in Python will make you a valuable asset and able to assist in many roles. Create your own career path!
What You Really Want to Know
$110k
Average Salary
Career Outlook
A Variety of career paths. This means there are many opportunities waiting for you. Your new career outlook is Bright!
Projected Growth
Employment 2019: 1,400,000 Employees
Projected Openings over 10 years: 131,000
Top Sought-After Skills by Employers
- Data Analysis
- Understanding Algorithms
- Data Construction
- Attention to Detail
- Integrity
- Analytical Thinking
Related Jobs
- Software Developer
- Software Engineer
- Data Scientists
From “Software Developers” and “15-1252.00 – Software Developers” by the National Center for O*NET Development. Used under the CC BY 4.0 license.
Data Analysis Using Python Course Syllabus
Python Fundamentals
Students will learn how to address issues including:
Installing the latest version of Python
Working with Jupyter Notebooks
Python data types, operators, and variable names
Python strings, lists, ranges, and constructors
Controlling the flow of Python programs
Modularizing code with functions
Handling data with tuples, sets, and dictionaries
Developing Python modules
Encapsulation with Python classes
Building an intelligent Texas Hold’em Poker application
Data Analysis
Students will learn how to address issues including:
Introduction to pandas
Selecting subsets of data
Essential pandas commands
Grouping data with pandas
Analyzing time series data
Exploring text with regular expressions
Cleaning and transforming data
Joining multiple datasets together
Building professional data analytics reports
SQL
Students will learn how to address issues including:
Connecting to SQL databases
Querying databases with the SELECT statement
Translating pandas to SQL
Data visualization
Students will learn how to address issues including:
Learning the data visualization landscape in Python
Building interactive data analytics dashboards
