|Course or Certification Name||Category||Location||Mode of learning|
|Vskills Certified Data Entry Operator Government Certification||Data Entry||Offline self study|
|Simplilearn Data Scientist Master's Program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data Hadoop Expert Program - Online Classroom||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Analysis with Pandas and Python||Data Analysis||Online self study|
|Data Science and Machine Learning Bootcamp with R||Data Science||Online self study|
|Big Data Hadoop Solutions Architect Masters Program||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|R for Data Analysis||Data Analysis||Online self study|
|Big Data Hadoop & Spark Developer||Big Data||Online self study|
|Big Data Fundamentals||Big Data||Online self study|
|PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|The Data Science Course 2019: Complete Data Science Bootcamp||Data Science||Online self study|
|MongoDB - The Complete Developer's Guide||Relational Databases||Online self study|
|Complete 2020 Data Science & Machine Learning Bootcamp||Machine Learning||Online self study|
|Complete Machine Learning and Data Science: Zero to Mastery||Machine Learning||Online self study|
|Big Data Analytics and Artificial Intelligence (AI): Strategic and Actionable Insights||Big Data||Classroom|
Data Entry Operators have good typing and numeric entry skills, and they help companies in updating data into a computer system database. Vskills Certified Data Entry Operator course assesses the candidateâ€™s ability to entry data as per the companyâ€™s requirements. This specially designed government-certified course helps the candidate to acquire the necessary technical skills for typing and entry through the usage of MS-Office software. It tests the candidateâ€™s ability to ensure correct and fast entry.
This Master's Program provides training in the skills required to become a certified data scientist. You'll learn the most in-demand technologies such as Data Science on R, SAS, Python, Big Data on Hadoop and implement concepts such as data exploration, regression models, hypothesis testing, Hadoop, and Spark.
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. | Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. | Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. | The â€˜Impala-an Open Source SQL Engine for Hadoopâ€™ is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem. | MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become MongoDB experienced professional. By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment. | Apache Kafka is an open source Apache project. It is a high-performance real-time messaging system that can process millions of messages per second. It provides a distributed and partitioned messaging system and is highly fault tolerant.
Student Testimonials: The instructor knows the material, and has detailed explanation on every topic he discusses. Has clarity too, and warns students of potential pitfalls. He has a very logical explanation, and it is easy to follow him. I highly recommend this class, and would look into taking a new class from him. - Diana This is excellent, and I cannot complement the instructor enough. Extremely clear, relevant, and high quality - with helpful practical tips and advice. Would recommend this to anyone wanting to learn pandas. Lessons are well constructed. I'm actually surprised at how well done this is. I don't give many 5 stars, but this has earned it so far. - Michael This course is very thorough, clear, and well thought out. This is the best Udemy course I have taken thus far. (This is my third course.) The instruction is excellent! - James Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world! Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include: installingsortin gfilteringgroupingaggregatingde-duplicatingpivotingmungingdeletingmergingvisualizing and more!Why learn pandas? If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you! Data Analysis with P andas and Python introduces you to the popular P andas library built on top of the Python programming language.Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more! I call it "Excel on steroids"! Over the course of more than 19 hours, I'll take you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package. Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas! Whether you're a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science! This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy! We'll teach you how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R! Here a just a few of the topics we will be learning: Programming with RAdvanced R FeaturesUsing R Data Frames to solve complex tasksUse R to handle Excel FilesWeb scraping with RConnect R to SQLUse ggplot2 for data visualizationsUse plotly for interactive visualizationsMachine Learning with R, including:Linear RegressionK Nearest NeighborsK Means ClusteringDecision TreesRandom ForestsData Mining TwitterNeural Nets and Deep LearningSupport Vectore Machinesand much, much more! Enroll in the course and become a data scientist today!
Designed to make certain that you change into a Hadoop Architect master, Big Data Hadoop Masters Program is a structured learning program recommended by famous industry experts. This certification includes real life projects that let you work through technical challenges connected with Hadoop Administration. When you complete the requirement of the course, you will get master certificate from Naukri learning certifying that you have gained the knowledge of Big Data Hadoop Solutions Architect. You will get knowledge in designing, maintaining and deploying Hadoop clusters and Nosql database technologies.
This free online R for Data Analysis course will get you started with the R computer programming language. In this course, you will learn how the data analysis tool, the R programming language, was developed in the early 90s by Ross Ihaka and Robert Gentleman at the University of Auckland, and has been improving ever since. You will also learn about how data analysis systematically evaluates data using analytical and logical reasoning, and more!
Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.
The course covers the way team works in big data companies, some challenges and opportunities that big data offers. You will also learn how big data is driving organizational change and the main challenges companies face when trying to analyze massive data sets. Besides, some fundamental techniques like big data stack, data mining and stream processing. In this training program, you will come across a number of tools for working with big data. It also lets you learn the technique of storing, processing and deploying in an enterprise scenario. You will gain a deep knowledge of what insights big data can offer through hands-on experience with the tools used by big data experts. At the end of the course, you will have a better understanding of the different applications of big data in industry.
IMS Proschool offers a comprehensive and yet affordable program in Data Science. The program has an employment-oriented approach and is based on a detailed research of companiesâ€™ requirements. It prepares Students for roles like Business Analyst, Data Analyst and Data Scientist and is available in full time and part time modes. | Data Analytics is the science of analyzing data to find out patterns that will be helpful in developing strategies. Its usage can be found in almost every industry. Following is an indicative list of roles you can play in the analytics industry - Data engineers, Data analysts, Data Scientists, Business Analysts, Machine Learning Developers & BIG Data Analysts
Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.
MongoDB is one of the most important NoSQL databases you can work with these days. It's extremely popular and MongoDB developers are in high demand . No matter if you're building web applications, mobile applications or any other kind of application or if you're a data scientist - you'll need to work with data. Storing data, querying it efficiently and minimizing complexities whilst optimizing performance are crucial tasks. MongoDB makes working with data simple - it's built on a philosophy that prioritizes performance and efficiency. In this course, you'll learn all about MongoDB from scratch. No prior MongoDB or database experience is required! In detail, you'll learn: ... how to install and use MongoDB locally and in the cloud (MongoDB Atlas) ... how to perform CRUD (Create, Read, Update, Delete) operations on MongoDB databases ... how to filter for data efficiently ... how to work with both the Mongo Shell and drivers (e. G. Node. Js driver) ... how to increase performance by using indexes (and how to use the right indexes!) ... how to use the amazing "Aggregation Framework" that's built into MongoDB ... what replica sets and sharding are ... how to use MongoDB Atlas - the cloud solution offered by MongoDB ... how to use the serverless platform (Stitch) offered by MongoDB ... and much more! This course is a hands-on course - you'll learn by writing code/ commands. We'll work on a wide variety of example data and use-cases and by the end of the course, you'll have all the knowledge you need to work with MongoDB in your next project! This course is for you, no matter which programming language you plan on using , you'll learn a uniform way of interacting with MongoDB that can be easily applied to any language. This course is for you: ... if you're brand-new to MongoDB and databases in general ... if you got some basic database or even MongoDB experience - in this course, there are different entry points you can choose from! ... if you are a web or mobile app (or desktop app) developer who considers using MongoDB ... if you're working in a team that considers using MongoDB (or already does use it) ... if you are primarily using SQL-based databases so far and you want to explore the most popular NoSQL alternative This course is NOT for you: ... if you're looking for a guide on administrating MongoDB servers This course focuses on the commands/ queries you write, it's NOT an administration course. I will show (in detail) how to deploy a ready-to-use cloud MongoDB solution that follows best practices though.
Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science. At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery . Here's why: The course is a taught by the lead instructor at the App Brewery, London's leading in-person programming bootcamp . In the course, you'll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix. This course doesn't cut any corners, there are beautiful animated explanation videos and real-world projects to build. The curriculum was developed over a period of three years together with industry professionals, researchers and student testing and feedback. To date, we've taught over 200,000 students how to code and many have gone on to change their lives by getting jobs in the industry or starting their own tech startup. You'll save yourself over $12,000 by enrolling, but get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp. We'll take you step-by-step through video tutorials and teach you everything you need to know to succeed as a data scientist and machine learning professional. The course includes over 35 hours of HD video tutorials and builds your programming knowledge while solving real-world problems. In the curriculum, we cover a large number of important data science and machine learning topics, such as: Data Cleaning and Pre-Processing Data Exploration and Visualisation Linear Regression Multivariable Regression Optimisation Algorithms and Gradient Descent Naive Bayes Classification Descriptive Statistics and Probability Theory Neural Networks and Deep Learning Model Evaluation and Analysis Serving a Tensorflow Model Throughout the course, we cover all the tools used by data scientists and machine learning experts, including: Python 3 Tensorflow Pandas Numpy Scikit Learn Keras Matplotlib Seaborn SciPy SymPy By the end of this course, you will be fluently programming in Python and be ready to tackle any data science project . We'll be covering all of these Python programming concepts: Data Types and Variables String Manipulation Functions Objects Lists, Tuples and Dictionaries Loops and Iterators Conditionals and Control Flow Generator Functions Context Managers and Name Scoping Error Handling By working through real-world projects you get to understand the entire workflow of a data scientist which is incredibly valuable to a potential employer. Sign up today, and look forward to: 178+ HD Video Lectures 30+ Code Challenges and Exercises Fully Fledged Data Science and Machine Learning Projects Programming Resources and Cheatsheets Our best selling 12 Rules to Learn to Code eBook $12,000+ data science & machine learning bootcamp course materials and curriculum Don't just take my word for it, check out what existing students have to say about my courses: One of the best courses I have taken. Everything is explained well, concepts are not glossed over. There is reinforcement in the challenges that helps solidify understanding. I'm only half way through but I feel like it is some of the best money I've ever spent.-Robert Vance I've spent Â£27,000 on University..... Save some money and buy any course available by Philipp! Great stuff guys.-Terry Woodward "This course is amazingly immersive and quite all-inclusive from end-to-end to develop an app! Also gives practicality to apply the lesson straight away and full of fun with bunch of sense of humor, so it's not boring to follow throughout the whole course. Keep up the good work guys!" - Marvin Septianus Great going so far. Like the idea of the quizzes to challenge us as we go along. Explanations are clear and easy to follow-Lenox James Very good explained course. The tasks and challenges are fun to do learn an do! Would recommend it a thousand times.-Andres Ariza I enjoy the step by step method they introduce the topics. Anyone with an interest in programming would be able to follow and program-Isaac Barnor I am learning so much with this course; certainly beats reading older Android Ebooks that are so far out of date; Phillippe is so easy any understandable to learn from. Great Course have recommended to a few people.-Dale Barnes This course has been amazing. Thanks for all the info. I'll definitely try to put this in use. :)-Devanshika Ghosh Great Narration and explanations. Very interactive lectures which make me keep looking forward to the next tutorial-Bimal Becks English is not my native language but in this video, Phillip has great pronunciation so I don't have problem even without subtitles :)-Dreamerx85 Clear, precise and easy to follow instructions & explanations!-Andreea Andrei An incredible course in a succinct, well-thought-out, easy to understand package. I wish I had purchased this course first.-Ian REMEMBERÂ¦ I'm so confident that you'll love this course that we're offering a FULL money back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain. So what are you waiting for? Click the buy now button and join the world's best data science and machine learning course.
Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 180,000+ developers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. This is a brand new Machine Learning and Data Science course just launched January 2020! Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know). This comprehensive and project based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers want. The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Machine Learning and Data Science engineer. The course covers 2 tracks. If you already know programming, you can dive right in and skip the section where we teach you Python from scratch. If you are completely new, we take you from the very beginning and actually teach you Python and how to use it in the real world for our projects. Don't worry, once we go through the basics like Machine Learning 101 and Python, we then get going into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real life practice and be ready for the real world (We show you fully fledged Data Science and Machine Learning projects and give you programming Resources and Cheatsheets)! The topics covered in this course are: - Data Exploration and Visualizations - Neural Networks and Deep Learning - Model Evaluation and Analysis - Python 3 - Tensorflow 2.0 - Numpy - Scikit-Learn - Data Science and Machine Learning Projects and Workflows - Data Visualization in Python with MatPlotLib and Seaborn - Transfer Learning - Image recognition and classification - Train/Test and cross validation - Supervised Learning: Classification, Regression and Time Series - Decision Trees and Random Forests - Ensemble Learning - Hyperparameter Tuning - Using Pandas Data Frames to solve complex tasks - Use Pandas to handle CSV Files - Deep Learning / Neural Networks with TensorFlow 2.0 and Keras - Using Kaggle and entering Machine Learning competitions - How to present your findings and impress your boss - How to clean and prepare your data for analysis - K Nearest Neighbours - Support Vector Machines - Regression analysis (Linear Regression/Polynomial Regression) - How Hadoop, Apache Spark, Kafka, and Apache Flink are used - Setting up your environment with Conda, MiniConda, and Jupyter Notebooks - Using GPUs with Google Colab By the end of this course, you will be a complete Data Scientist that can get hired at large companies. We are going to use everything we learn in the course to build professional real world projects like Heart Disease Detection, Bulldozer Price Predictor, Dog Breed Image Classifier, and many more . By the end, you will have a stack of projects you have built that you can show off to others. Here's the truth: Most courses teach you Data Science and do just that. They show you how to get started. But the thing is, you don't know where to go from there or how to build your own projects. Or they show you a lot of code and complex math on the screen, but they don't really explain things well enough for you to go off on your own and solve real life machine learning problems. Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no Data Science experience, to someone that can go off, forget about Daniel and Andrei, and build their own Data Science and Machine learning workflows. Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career. You hear statements like Artificial Neural Network, or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean! Click Enroll Nowand join others in our community to get a leg up in the industry, and learn Data Scientist and Machine Learning. We guarantee this is better than any bootcamp or online course out there on the topic. See you inside the course! Taught By: Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible. See you inside the course!
Big Data technologies have made it possible for companies to obtain newer and deeper insights into market behavior trends and preferences compared to what traditional analytics provided. With increase in the volume, variety and velocity of data being stored, collectively known as 3Vs, a large number of new data science techniques for carrying out predictive analytics on them have been developed. This program sensitizes participants on how companies can harness the potential of Big Data analytics to make more informed decisions, conduct various activities in radically different ways and create value and business growth. The program enables participants to diagnose business problems captured in structured and unstructured data, conduct in-depth analysis of the external as well as the internal environment and understand how best to generate strategic business insights that leverage Big Data analytics. It introduces participants to Big Data technologies like predictive analytics, information retrieval, Hadoop, MapReduce, etc. The program aims to raise awareness of participants about the challenges of leadership in visioning and managing Big Data projects and creating sustainable impact on a firmâ€™s operations and performance.