Develop Linear Models by Learning Regression Analysis with Python

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.

uCertify introduces Big Data Analysis with Python course

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. 

Check out uCertify’s Exploratory Data Analysis with Python course

Data analysis is a concept that consists of different types of techniques and strategies to look after a huge amount of data and produce desired results. EDA (Exploratory Data Analysis) is one of those phenomena that helps in gaining a better understanding of data. EDA helps in highlighting the core aspects of data, extracting useful information, and identifying variables and relationships that hold each other in a great amount of data. EDA can simply solve the problem statement or definition on our data set which is very important.

uCertify introduces Exploratory Data Analysis with Python course and lab, a comprehensive option to rely while dealing with complicated data. It is well equipped with different interactive tools and labs which provide hands-on learning of EDA. The course begins with the basics and leads to expert knowledge of EDA along with diverse techniques like data cleaning, data preparation, data exploration, and data visualization. The course and lab deal with importing, cleaning, and exploring data to perform preliminary analysis using powerful Python packages, and many more. Using Python for data analysis, you’ll work with real-world datasets, understand data, summarize its characteristics, and visualize it for business intelligence.

uCertify’s  Exploratory Data Analysis with Python course carries all the requisite factors to be considered as a foremost choice of any student and instructor. It has well descriptive lessons, a lump-sum amount of exercises, valuable quizzes, flashcards, and glossary terms to get a detailed understanding of the distinctive course. The availability of test prep makes it more reliable for the preparation of certification as it consists of pre-assessment questions and practice questions to keep a check on your preparation route. The video tutorials and performance labs accompany you to get hands-on with all the skills required for it. So don’t wait for long and get your Exploratory Data Analysis with Python course from uCertify today.

Learn “Machine Learning with Python” with uCertify

The world is revolving around Artificial Intelligence and machine learning is a subunit of it that holds on to the analytical working of the modules to adopt new scenarios independently. It is formulated to ease down the number of manpower requirements and to create a life with smart technical assistance. Machine Learning (ML) is a field of computer science that allows computer science to learn from experience without being explicitly programmed or human intervention. The implementation of machine learning with python focuses on the development of computer programs that can change when exposed to new data.

uCertify is offering Machine learning with python course and lab with all kinds of interactive tools to be a proficient programmer. The course will introduce you to the vast features, applicability, and simplicity of python.  This course will prepare you for working on different platforms, such as Windows, Linux, and macOS with Python programming to ease the coding. This course will save your time and resources and make you go on-hand with python as it has frameworks and libraries that offer a reliable environment resulting in the reduction of software development time significantly. 

This course will act as a requisite to deal with machine learning problems while learning and sharpening python programming skills hand-in-hand. It can be considered as the best course dealing in python to help automate tasks, and it offers greater simplicity and consistency than other programming languages. So if you want to mark your presence in the engaging python community, this course makes it easy for you to discuss projects and contribute ideas on how to use python in a vivid manner. So grab the opportunity fast and take the lead in the python world.

uCertify introduces Data Wrangling with Python

Data wrangling is no less than lubrication in the IT machinery that helps in the process of collecting, gathering, and transforming raw data into another format for better understanding, decision-making, accessing, and analysis in a specific time period. In this era of data consumption and production, it is crucial to maintain it in a proper format, far away from any distortion. Nowadays, data shares a sensitive and complicated nature which requires getting sorted in the simplest manner for extracting the core information.

uCertify introduces Data Wrangling with Python course and lab in well-equipped format, which provides an understanding of the processes used along with the knowledge of the most popular tools and techniques in the domain. This course and lab also demonstrate how to use these interactive tools, teaches the skills of file handling Python back-end, and extracting/transforming data from an array of sources including the internet. The course has broad hands-on activities preliminary focusing on web scraping and data gathering, RDBMS and SQL, and it will assert you with the capability of application of data wrangling in real life.

The course also has a predominant presence of exam objectives, covering all the basic and advanced data structures, introduction to NumPy, Pandas, and Matplotlib, and file handling. This course dives deep into Data Wrangling with Python, makes you comfortable with different kinds of data sources, learning the hidden secrets of Data Wrangling, advanced web scraping, and data Gathering RDBMS and SQL. The course helps you in seeking knowledge and skills about data exploration, reshaping data, dealing with missing values, and filtering data which enables an efficient data set, to be used for different purposes like data analyzing, machine learning, data visualization, model training, etc.  So pull your socks up with Data Wrangling with Python course to master in the field of data handling.