|Course or Certification Name||Category||Location||Mode of learning|
|Python Programming Learn Python with 100+ Practicals||Emerging Web Technologies||Online self study|
|Applied Data Science with Python Specialization||Data Science||Online self study|
|DATA SCIENCE WITH R, PYTHON & MACHINE LEARNING||Data Science||Classroom|
|Introduction to Python Programming||Web Technologies||Online self study|
|Programming for Data Science with Python||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Hands-On Image Recognition: Python Data Science Bootcamp||Data Science||Online self study|
|Data Science: Foundations & Regression (Python)||Data Science||Online self study|
|IT support, Network+ , Security + , CSA + , python , server+||IT Support||Online self study|
|Become a Data Scientist with SAS, R and Python||Data Science||Online self study|
|Introduction to Python||Data Science||Online self study|
|Machine Learning A-Z: Hands-On Python & R In Data Science||Machine Learning||Online self study|
|IIM Kashipur Executive Development Program in Machine Learning for Managers using Python & R||Machine Learning||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|The Joy of Computing using Python||Machine Learning||Classroom|
|Internet of Things Intermediate Online Instructor led certification||Internet of Things||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data and Machine Learning Prodegree||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
In this course, we have designed a detailed course to become your guide. You will learn the techniques and concepts of Python programming, giving you the information and the skills you need to boost your programming skills and learn Python.
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Machine learning is one of the key components of datascience. R and Python are one of the most used programming languages and command a huge demand in the data science job market. This module gives you exposure to both R and Python that prepares you for delivering in either of the platforms.
In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices. You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. You’ll define and document your own custom functions, write scripts, and handle errors. Lastly, you’ll learn to find and use modules in the Python Standard Library and other third-party libraries.
Prepare for a data science career by learning the fundamental data programming tools: Python, SQL, command line, and git. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.
This course is designed to get students on board with data science and make them ready to solve industry problems. This course is a perfect blend of foundations of data science, industry standards, broader understanding of machine learning and practical applications.
In this course you will be able to test your knowledge in various topics like networking , security, IT fundamentals and many others and so you will improve your level in these fields. This practice test will focus on the most important points in each topic which i will be updating continuously.
Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.| Part 1 - Data Preprocessing | Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression | Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification | Part 4 - Clustering: K-Means, Hierarchical Clustering | Part 5 - Association Rule Learning: Apriori, Eclat | Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling | Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP | Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks | Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA |Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Data Analytics & Machine learning are growing exponentially and are going to change the decision making processes in companies. Based on the prediction by IBM, there will be around 2.7 million job postings by 2020 in this domain. This course is designed to meet this requirement and has applications for various areas of management including Economics & Finance, Marketing, Operations, Strategy, Leadership, Information System (IT) and many more. Machine Learning is at the intersection of statistics, artificial intelligence and computer science. This course will help professionals develop a fundamental understanding of machine learning and derive practical solutions using predictive analytics. It introduces the concepts related to Supervised and Unsupervised machine learning from basic regression and classification to decision trees and clustering. The course will make use of R/Python for the hands-on implementation of the models.
A fun filled whirlwind tour of 30 hrs, covering everything you need to know to fall in love with the most sought after skill of the 21st century. The course brings programming to your desk with anecdotes, analogies and illustrious examples. Turning abstractions to insights and engineering to art, the course focuses primarily to inspire the learner's mind to think logically and arrive at a solution programmatically. As part of the course, you will be learning how to practice and culture the art of programming with Python as a language. At the end of the course, we introduce some of the current advances in computing to motivate the enthusiastic learner to pursue further directions.
IoT extends the Internet from mostly used devices like desktop and portable computers, Smartphones and tablets to various variants of devices and everyday things that utilize embedded technology to speak and act with the external surroundings, all via net. Learn how you can derive deep business insight from the Internet of Things (IoT) while boosting your skills from Collabera TACT and be future ready. By 2020 the number of devices connected is predicted to reach a whopping 25 Billion across the globe. With such great magnitude of work being done in the field, IoT has become one of the hottest skills for job seekers in recent times. Programmers, Developers, Engineers and Network Experts are believed to be the primary beneficiaries of IoT.
The Big Data and Machine Learning Prodegree, in association with IBM as the EdTech Partner, is a first-of-its-kind 160-hour certification course providing in-depth exposure to Data Science, Big Data, Machine Learning and Deep Learning. The rigorous industry-aligned curriculum offers a comprehensive understanding of Python, Spark and Hadoop for careers in Machine Learning and Big Data. The program also features seven industry projects and periodic interaction with industry leaders in the Machine Learning Ecosystem.