This course focuses on fundamentals of Python, Statistics and Machine Learning. Gain expertise in applied Data Analytics at scale using Python. This course is a step by step guide to Python and Data analytics with extensive hands on.
In this module, you will get a brief idea of what data analysis and its types.
This module will give you an overview to the entire Python’s world. First you will have a description of the Python language and its characteristics that made it unique. You’ll see where to start, what an interpreter is, and how to begin to write the first lines of code in Python. Then you are presented with some new more advanced forms of interactive writing with respect to the shells such as IPython and IPython Notebook.
Learn different types of sequence structures, related operations and their usage. Also learn diverse ways of opening, reading, and writing to files.
This Module helps you get familiar with the various libraries of python used in machine learning such as NumPy, Pandas and Matplotlib.
Scikit-learn is a Python module that integrates many of machine learning algorithms. This library was developed initially by Cournapeu in 2007, but the first real release was in 2010. This library is part of the SciPy (Scientific Python) group, a set of libraries created for scientific computing and especially for data analysis, many of which are discussed in this book. Generally these libraries are defined as SciKits, hence the first part of the name of this library. The second part of the library’s name is derived from Machine Learning, the discipline pertaining to this library. In the chain of processes that make up the data analysis, the construction phase of predictive models and their validation are done by a powerful library i.e. scikit-learn. In this module you will see some examples that will illustrate the basic construction of predictive models with some different methods
In this module, you will see a simple example of how to use meteorological data. This example will be useful to get a general idea of how to apply many of the things seen in the previous modules.
In this module you’ll learn handwriting recognition, especially about the digits.
Structure your learning and get a certificate to prove it.
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.
University of Emerging Technologies' Data Analytics with Python course not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Analytics at scale using Python. The training is a step by step guide to Python and Data analytics with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing various real world problems.
University of Emerging Technologies’ Data Analytics with Python will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like Pandas, NumPy, Matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.
Total Duration of the course is 160 hours
University of Emerging Technologies provides you with Role based education, experiential learning, live classes, 24*7 live labs and live support, personalized machines, real life projects, industry oriented, job focused content along with career prep support.
Cognitive Software Engineer
Machine Learning Engineer
Math, analytics and Commerce Graduates
By the end of this course, you will be able to
Cleaning the Data
Data frame manipulation
Summarizing the Data
Building machine learning Regression models
Building data pipelines
It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain.
The pre-requisites for this course include the basic understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus.
University of Emerging Technologies' Data Analytics with Python Course Completion Certificate is awarded by The Emerging Tech Foundation, an Independent Not-for profit organisation globally recognised for the emerging technologies.
You will be working on the virtual live lab environment that we provide which will give you the access to all the tools and softwares required for this particular course. The stepwise guide for accessing these services will be available in the LMS and University of Emerging Technologies support team will assist you 24*7 in case you have any doubts.
This course includes eight assignment projects which will hone your skills as per current industry standards and prepare you for your future career needs.
The 2 industry-based certification projects will test your ability to work with real-world data set.
Your certification project is an opportunity for you to explore an interesting problem of your choice in the context of a real-world data set. Projects can be done by you as an individual, or in teams of 2-4 students. Educators and Academic Enablers will consult with you on your ideas, but of course the final responsibility to define and execute an interesting piece of work is yours. Your project will be worth 20% of your final class grade, and will have 4 deliverables:
Proposal: 1 page (10%)
Midway Report: 3-4 pages (20%)
Final Report: 5-6 pages (40%)
Poster Presentation: (30%)
In this course, you will learn about scenario-based examples and have hands-on experience to be able to utilize the tools and prompts.
Any computer with standard Windows and or Mac with at least 2 GB RAM and a Core-I3 processor.
Total duration of this course is 160 hours divided over a period of 7-8 weeks. Out of 160 hours, 60-80 hours are dedicated for online sessions and remaining for live practical sessions where you will be working on real life industry focused projects.
You will be spending a minimum of 12 hours for online sessions every week.
Using your LMS, you will always have access to the recorded sessions. And you can also make a special request to attend the live session in some other batch (on the basis of availability).
Virtual Lab is a cloud-based environment where you can execute all your practicals and assignments, work on real-life projects effortlessly.
Using these virtual labs, students can avail the various tools for learning, including additional resources and environment for the course. This will save students from all the hassle of downloading and maintaining these softwares in their own machine.
You’ll be able to access the virtual lab via your browser which requires minimum hardware configurations. If you are stuck somewhere, our support team is available 24*7 to help you out.
All the details to access virtual labs are available on you LMS.
You can interact with the educator during the class using the chat feature.
We provide 24*7 live support to all our students via live chat feature and email. Our academic enablers are always available to help you throughout the course.
Yes, you can interact with other students enrolled in the same course using the course forum where you can discuss about the class and the course material. In case you want to interact with students enrolled in some other course, you can do that using the common forum available for all. University of Emerging Technologies believes in community building and social learning by connecting learners to each other so that they can discuss concepts, work on projects, solve problems and share innovative ideas.
Yes, we have group projects so that students can engage with each other and share ideas.
You will be graded on the basis of weekly quizzes, assignments, lab engagements, midterm and final exams.
Our online classes are Instructor paced.
Yes, the course material is accessible to the students even after the course is over in the form or PDF documents and recorded lectures.
Yes, you will get assistance for job interviews. We have a dedicated team for career guidance and counselling.
Enrollment is a commitment between you and us in which you promise to be a successful learner and we promise to provide you with the best possible learning environment. Our sessions consist of online interactive live classes, live labs and 24*7 live support along with career prep support. Enroll with us and experience the complete learning environment instead of just a demo session.