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NTAI Data Scientist / Analytics Engineer Career Professional Certifications demonstrate your proficiency and expertise in your chosen field. To earn one or more of these certifications you must pass exams on the “core” courses required for all data science and analytics development careers, plus exams for electives in your chosen technical or business concentration area. You earn a specialist certificate for each exam you pass, so that you get recognition for your accomplishments along the way. Taking (and passing) exams is a crucial part of the learning process. It is one of the best ways to help you master and remember the material.
“Core” exams are required for all data science, data analytics, and data engineering careers. “Specialist” exams help you demonstrate advanced expertise in specific application areas.
NTAI Data Career “Core” Exams verify your fluency with core fundamentals, concepts and hands-on skills including:
- Python programming concepts, tools, constructs, and key coding skills
- Data science, analytics, engineering, and AI core definitions and processes
- Core Python-based data preparation, analysis, reporting, and visualization libraries
- Foundational statistics and modeling relevant for data analytics, engineering, and AI careers
NTAI Data Career “Concentration” Exams focus on verifying your advanced expertise in mainstream and emerging technology-specific careers. You elect and prepare for concentration exams while taking the corresponding NTAI training programs:
- Business Data Analyst
- Business Intelligence Analyst
- Data Scientist (generalist)
- Natural Language Processing Specialist
- Machine Intelligence Engineer
- Artificial Intelligence Engineer
- Big Data Engineer
- Business Intelligence Engineer
- Certified Ethical Hacking Engineer
NTAI-approved Professional Programmer Certification Exams are used to verify expertise for more advanced programming professionals. They rely on the NTAI Data Career “Core Exams” as pre-requisite qualifying exams. Advanced programmers may test out of lower-level programs by passing the Data Career Core Certification Exams.
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Python Developer Professional Certifications:
- (A) Associate
- (B) Professional
- (C) Expert
- Python Data Analytics Specialist
- Python Data Scientist
- Python Network Security Data Scientist
- Python Full Stack Web Developer
- Full Stack MEAN Web Developer
Data Analytics
Python Coding and Application Development
- Python Core Coding Skills and Tools
- Python Application Development
- Python Packages Ecosystem (“300,000 batteries included”)
- Jupyter Notebook / Jupyter Lab – Basic and Advanced Extensions
Databases
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Free and Open Source (FOSS) Databases
- SQLite, MySQL
- PostgreSQL
- MongoDB
-
Proprietary Databases
- Oracle DBMS
- Microsoft SQL Server / Azure
- Other
Data Wrangling
- Pandas Basic Operations
- Pandas Advanced Operations
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Pandas Advanced Tools
- (pyjanitor, pandasprofiling, Qgrid, pandas-reader, more)
PyData Open Source Analytics
- matplotlib, Bokeh, Seaborn
- HoloViews, Voyager, Altair
- Panel, Plotly-Dash, streamlit
- many others
Proprietary Analytics and Visualization Tools (Vendor-Specific)
- Microsoft PowerBI
- QlikView and QlikSense
- Tableau
- Tibco Spotfire
- Alteryx
- SAS Studio
Data Science
Open Source Solutions
- Scikit-learn
- PyTorch
- Others
Vendor-Specific Machine Learning
- Microsoft Azure ML Studio
- Google TensorFlow
- Alteryx
- SAS Viya
Data Engineering
Docker and Virtual Machine Containerization
Data Pipelines
Kubernetes
Python-Based Pipelines and Orchestrators
Business Intelligence
Data Warehousing
Databases and Data Marts
Data Analytics and Reporting
Data Dashboards
Data Visualization
Machine (Artificial) Intelligence
Python Full Stack Web Developer
Average Base Salary in US Reported on ZipRecruiter.com
$111,684 to $128,150 per year National Average
As of Dec 24, 2020, the average annual
pay
for a
Full Stack Python Developer
in the
United States
is $128,150 a year. Just in case you need a simple
salary
calculator, that works out to be approximately $61.61 an hour.
Average Base Salary in US reported on Indeed.com
Data source tooltip for average base salary. Salary estimates are based on 1,445 salaries submitted anonymously to Indeed by python developer employees, users, and collected from past and present job posts on Indeed in the past 36 months. The typical tenure for a Python Developer is less than 1 year. 1.4k salaries reported, updated at December 30, 2020
$111,684 per year
The average salary for a python developer is $111,684 per year in the United States and $5,000 cash bonus per year.
Industry-Specific Data Careers
- Healthcare Data Science and Informatics
- Financial Informatics and Informatics
- Bioinformatics
- Network Analytics, Hacking and Intelligent Protection
- Retail Analytics and Machine Learning
- Business Analytics and Business Intelligence
Contact NTAI to learn more !!
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