A professional, high-stakes credential, the PCAD – Certified Associate in Data Analytics with Python certification (Exam PCAD-31-0x) assesses a candidate’s proficiency in Python coding tasks related to data mining, import, cleaning, and preparation for analysis; data manipulation and statistical analysis; dataset summarization and visualization; predictive data modeling using basic machine learning algorithms; and Python solution development for data science applications.
Course Objectives
You have a rare chance to learn Python programming for data analysis with this intermediate data analytics training course. It will also enable you to pick up the fundamental knowledge needed for the data analytics industry.
You will learn about the key ideas, processes, and toolkits used in data science and analytics in this course on data analytics. Additionally, it will show you how to use Python programming to efficiently and properly gather, clean, analyze, summarize, and display data.
You will be ready to take the PCAD (Certified Associate in Data Analytics with Python) certification exam after completing this data analytics training course. It will enable you to begin a career in software engineering, data science, marketing analytics, and machine learning.
The PCAD certification attests to the candidate’s understanding of the following topics: machine learning and data modeling with SciKit-Learn; data extraction and mining; file processing (csv, html, json); data analytics with NumPy and Pandas; data visualization with Matplotlib and Seaborn; and fundamental concepts, methodologies, and best practices in data analytics.
The Certified Associate in Data Analytics with Python (PCAD) Certification verifies an applicant’s proficiency with Python-based data collecting, cleaning, manipulation, modeling, analysis, and visualization. This certification attests to the candidates’ proficiency in data analytics concepts such as model selection, predictive modeling, data-driven decision making, and decision making under uncertainty. It also assesses the user’s proficiency using NumPy, Pandas, Seaborn, Matplotib, and SciKit-Learn libraries for file processing and programming tasks.
The following benefits come with holding a PCAD certification:
- You’ll have self-assurance in your programming and data analytics abilities.
• When applying for jobs, you’ll stand out.
• You’ll have an advantage as you prepare ready for and progress to the professional levels.
Therefore, you want to start searching for organizations offering SGL data analytics training programs. If you want to master Python and contemporary programming approaches for data analysis and visualization, we offer a training course called Data Analysis Essentials with Python.
Audience
- Aspiring programmers, novices in data science, and students looking to pick up programming abilities for activities connected to their jobs and for enjoyment including data manipulation and analysis.
- Those aspiring to become software engineers, data scientists, data analysts, marketers, machine learning engineers, and business intelligence analysts at the entry level; professionals in the data science field with experience in other programming languages and tools who want to learn more about Python-related technologies or use it as a basis for data analytics
- Interested in learning Python for self-development in AI and machine learning, data science, data visualization, business and market research, data engineering, and big data, as well as industry experts, learners, and aspiring programmers
To successfully manage and interact with software development and analytics teams, team leaders, product managers, product owners, and project managers want to grasp the jargon and data science procedures.
Boost your career by earning your PCAD certification.
The more you know Python, the more opportunities it provides you with in the twenty-first century. Python is the programming language that opens more doors than any other. You may work in a wide range of sectors and vocations with a strong understanding of Python.
- For those seeking to progress into increasingly complex, specialized, and lucrative software development, security, networking, Internet of Things, and engineering professions, the PCAP certification is a useful credential. It will be especially appealing to:
- Aspiring programmers and learners who want to study programming for enjoyment and for work-related purposes; Learners and career changers looking for a junior position as a tester, data analyst, or software developer.
- The target audience for Python programming includes: industry professionals looking to explore technologies that use or are connected to Python; aspiring programmers and industry professionals looking to lay a strong foundation for further studies in more specialized areas like testing, data analytics, machine learning, Internet of Things, and web development; and team leaders, product managers, and project managers who want to better manage and communicate with production and development teams by understanding the terminology and processes involved in the software development cycle.
Python is either the highest-paid, or one of the highest-paid languages in all parts of the world today, and the salaries range between $90,000 and $130,000 a year (source: SalaryExpert.com).
With the ever-increasing reliance on the Internet, and with Python playing an ever-growing role, the salary of the average Python programmer is almost surely to rise.
Currently, there are 100,000+ unfulfilled Python jobs around the world, and the supply of qualified Python programmers is unable to match the demand.
PCAD Exam Information
Exam name : PCAD – Certified Associate in Data Analytics with Python
Exam Code & Current Exam Versions PCAD-31-0x
Pre-requisites
Validity : 5 years (unless retaken or PCPD is earned)
Exam D
uration
Exam: 65 minutes, NDA/Tutorial: 10 minutes
Number of Questions:40
Format: Single- and multiple-select questions | Python 3.x
Passing Score: 70%
Cost: USD 295 (Exam)
USD 319 (Exam + Practice Test)
Delivery Channel: Pearson VUE: Authorized Pearson VUE
