Get the knowledge to use Python for building fast and better linear models and to deploy the resulting models in Python with uCertify’s course Regression Analysis with Python. Linear models have always been a prominent and relevant element of the body of knowledge in statistics, economics, and many other respectable quantitative fields of study.

uCertify’s course Regression Analysis with Python covers the following concepts in a detailed manner with live labs for a hands-on experience:

  • Regression – The Workhorse of Data Science
  • Approaching Simple Linear Regression
  • Multiple Regression in Action
  • Logistic Regression
  • Data Preparation
  • Achieving Generalization
  • Online and Batch Learning
  • Advanced Regression Methods
  • Real-world Applications for Regression Models

The course is addressed to Python developers with atleast a basic understanding of data science, statistics, and math. Though the course doesn’t require a previous background in data science or statistics, it can well address data scientists of any seniority who intend to learn how to best do regression analysis on a dataset.  It has well descriptive interactive lessons containing pre and post-assessment questions, knowledge checks, quizzes, live labs, flashcards, and glossary terms to get a detailed understanding of the distinctive course.

So what are you waiting for? Get your copy of uCertify’s course Regression Analysis of Python today.

Python is considered one of the best programming languages for analyzing big data fields due to its easy readability and statistical analysis capacity. The amount of data produced in the IT sector shares a big commodity part and is increasing at a rapid pace. This exploding data world asks for a programming language that is project-specific and looks after the ultimate goal of extracting useful information out of it. Big data analysis relies on python programming due to its simple coding and the ability to process and prolix tasks within a short time.

uCertify composes a full-fledged course named, Big Data Analysis with Python in a comprehension manner with all kinds of interactive tools like objective-based lessons, test preps, and live labs for a hands-on experience. The course enables you to sharpen your skills with simple, readable syntax that helps Big Data pros to focus on insights managing Big data, rather than wasting time in understanding technical nuances of the language. This course brings up the two optimum companions in a match as python offers libraries that are useful for data analytics, visualization, numerical computing, machine learning, and Big Data requires a lot of scientific computing and data analysis. The course sums up them in a manner that fulfills the various prototyping ideas, evolving your skills to run code faster while maintaining excellent transparency between code and execution. The course unlocks the vibrant range of job opportunities for the role of data analyst and polishes the ability to manage and design the reporting environment, including data sources, security, and metadata.

So it is high time to enroll yourself in the course to secure technical expertise in data storage structures, data mining, and data cleansing. It prepares you for troubleshooting the reporting database environment and reports. In conclusion, big data and python together provide a robust computational capability in big data analysis platforms. 

uCertify has introduced the Python Fundamentals course to help you prepare for the Microsoft 98-381 certification exam. The course is designed for anyone who wants to start using Python to build anything from simple command-line programs to complex scripts. It provides a complete understanding of the key concepts, edge instances, and how to use Python for real-world application development. You’ll work your way up from the fundamentals to larger, more complicated applications and gain abilities to dig into an existing application or start your own project after completing this course.

Prepare for the Microsoft 98-381 certification exam with uCertify

The course provides you the knowledge of how Python has been employed in apps like YouTube and Google App Engine after a brief history of the Python language and the fundamental distinctions between Python 2 and Python 3. You’ll learn about control statements, explore regulating program flow, and gradually work on more organized programs via functions as we work with the language. You’ll study data structures and how to properly store and represent information as you become more familiar with the Python ecosystem. You’ll discover how Python implements OOP concepts like abstraction, data encapsulation, inheritance, and polymorphism by working through concrete examples. You’ll also learn how imports, modules, and packages operate in Python, as well as how to manage errors and avoid apps from crashing. By the end of this course, you’ll have amassed an amazing portfolio of experience and acquired the abilities necessary to handle Python projects in the real world.

The MTA certification training course comes with labs that take a hands-on approach to demonstrate how Python can be used in production environments. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. The assessments and practice tests in the course ensure your understanding of the course content and provide you with knowledge for the preparation of the Microsoft 98-381 certification exam.

So, start your journey of learning Python from scratch, today with uCertify!

Basheer Ahmed Khan is a Community Moderator at Peerlyst with over 13 years of Information Technology experience. He is an expert in building, implementing, and managing IT infrastructure and in technologies such as SDN and SD-WAN. Basheer provides consulting on complete WiFi Solutions. He has worked with AWS services like EC2, VPC, S3, CloudTrail, Glacier, Elastic IP, and more. He is also skilled in working with tools and technologies such as Python, PostgreSQL, XML, JavaScript, MySQL, C#, and C++.

Basheer has recently reviewed our Microsoft Python programming course and provided his valuable feedback. Please read it here:

Basheer Ahmed Khan Reviewed Our Microsoft  Python Programming Course

“I got the opportunity to refresh my Python skills with uCertify’s Basics of Python Programming course and lab. The course components are strictly based on both the 98-381 and PCAP-31-02 exam objectives. 

If you want to learn python programming, I would recommend this course. This course provides a lot of basic knowledge of python scripts and helps you learn the topic in a better way.”

To read the complete post, please click here.

Thank you, Basheer, we are glad to have your honest and valuable feedback on our course. 

To know more about Basheer Ahmed Khan, contact via his LinkedIn profile.

Maaruf Dauda is currently working as a Mobile Developer at He has a B.Tech in computer science from the Ladoke Akintola University of Technology. He is skilled in definition, design, implementation, testing, and delivering complex, full-stack web and mobile applications using a variety of programming languages and technologies. He is also experienced working with tools and technologies like Linux, Windows, MySQL, Android, Databases, Excel, Android SDK, React.js, JavaScript, Github, HTML, Redux, and Node.js.

He has recently reviewed our MTA Python programming course and provided his valuable feedback. Please read it here:

Read Maaruf Dauda’s Review On Our MTA Python Programming Course

“The uCertify python course has a pre-assessment that you can use to identify what aspects of the 98-381 exam require more attention than others. You can test your improvement with the post-assessment test afterward.

I loved the knowledge checks added to the chapters! It allows you to take tests in between lessons to test your knowledge on that topic without even leaving your browser.”

To read the complete post, please click here.

Thank you, Maaruf, we are glad to have your honest and valuable feedback on our course. 
To know more about Maaruf Dauda, contact via his LinkedIn profile.