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"computer data entry operator" courses, certification and training

  1. Data Science with R Professional

    Data Science is an inter-disciplinary filed that uses scientific methods, processes and systems to extract useful insights from data. R is an open-source programming language used in data science for statistical computing and graphics. | This Certified Data Science with R Professional course has been specifically designed for candidates to get the requisite skills and knowledge to work as data scientists | It also provides the necessary training to the candidates to have working experience in R as per the requirements for data analysis and statistical computing | The course has been developed by expert professionals and has quality online learning modules | It offers candidates a course-completion certification, accepted globally

    4 HoursOnline self studyIntermediate
    $ 120

    Data Science, Data Analysis, , Machine Learning

    Offered by:  Skillsoft
  2. Automate the Boring Stuff with Python Programming

    If you're an office worker, student, administrator, or just want to become more productive with your computer, programming will allow you write code that can automate tedious tasks. This course follows the popular (and free!) book, Automate the Boring Stuff with Python. Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don't need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done. This course is for complete beginners and covers the popular Python programming language. You'll learn basic concepts as well as: Web scrapingParsing PDFs and Excel spreadsheetsAutomating the keyboard and mouseSending emails and textsAnd several other practical topics By the end of this course, you'll be able to write code that not only dramatically increases your productivity, but also be able to list this fun and creative skill on your resume.

    Online self studyIntermediate
    ₹ 3,200 Enquire Now

    Productivity, Selenium

    Offered by:  UDEMY
  3. Big Data Hadoop & Spark Developer

    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.

    26 HoursOnline self studyIntermediate
    $ 218

    Machine Learning, , Big Data, Big Data & Hadoop, Operations

    Offered by:  Skillsoft
  4. Big Data Fundamentals

    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.

    3 HoursOnline self studyIntermediate
    $ 120

    Big Data, , Cloud Computing

    Offered by:  Skillsoft
  5. Bayesian Statistics: From Concept to Data Analysis

    This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.

    10 HoursOnline self studyIntermediate
    Enquire Now

    Accounting

    Offered by:  Coursera
  6. PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program

    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 companies’ 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

    Brochure
    Offered by:  IMS Proschool
  7. PG Diploma in Data Science (Full-time)

    PG DIPLOMA IN DATA SCIENCE FROM MANIPAL UNIVERSITY. It is a fully-residential program based in Bangalore. | Course Benefits: | Become A Data-Scientist - Launch your career in data science by mastering Data Management, Statistics, Machine-Learning and Big-Data. | Tool Based Learning - Hands on learning with tools like R, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm. | Assured Placement Assistance Assured placement assistance with leading organisations on successful completion of the course. | Industry collaborations - The course is designed in collaboration with industry leaders Genpact, Experian & Big Data University. | Best of Faculty - The course is taught by the best minds in the Analytics domain with over 15+ years of industry & analytics domain experience.

    Brochure
    Offered by:  Manipal ProLearn
  8. PG Program in Big Data Engineering

    The program aims to prepare aspirants for engineering/ development roles in the Big Data Industry. Learners who pursue this program will acquire the requisite skills in Computer Science and Data Engineering needed by the industry for the development of Big Data Applications. Additionally, learners will also acquire skills of technical Problem Solving

    Offline self studyPreparatory
    ₹ 235,000 Enquire Now

    Big Data

    Offered by:  UpGrad
  9. PG Certificate Program in Big Data & Analytics

    The program aims to prepare aspirants for Development/ Analytical roles in the Big Data industry. Learners who pursue this program will acquire the requisite skills in Computer Science and Data Engineering needed by the industry for the development of Big Data Applications. Additionally, learners will also acquire skills of technical problem-solving

    Offline self studyPreparatory
    ₹ 118,000 Enquire Now

    Big Data

    Offered by:  UpGrad
  10. Big Data Hadoop Expert

    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.

    29.5 HoursOnline self studyIntermediate
    $ 304

    Machine Learning, , Big Data, Production, Big Data & Hadoop, Operations

    Offered by:  Skillsoft
  11. The Data Science Course 2019: Complete Data Science Bootcamp

    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.

    Online self studyIntermediate
    Enquire Now

    Digital, Machine Learning, Tableau, Data Science, ,

    Offered by:  UDEMY
  12. MongoDB - The Complete Developer's Guide

    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.

    Online self studyIntermediate
    ₹ 10,560 Enquire Now

    Administration, Operations, Languages

    Offered by:  UDEMY
  13. Big Data Hadoop Architect Masters Program

    Big Data Hadoop Architect Program is a certification course that would help you build strong skill set in areas like Hadoop Development, Real time processing using Spark, and NoSQL database technology and transform you into a Hadoop Architect Expert. You would also be gain practical experience by implementing real life industry projects in the required Hadoop technologies.

    Offered by:  Simplilearn
  14. Complete Machine Learning and Data Science: Zero to Mastery

    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!

    Offered by:  UDEMY
  15. Mastering Data Structures & Algorithms using C and C++

    You may be new to Data Structure or you have already Studied and Implemented Data Structures but still you feel you need to learn more about Data Structure in detail so that it helps you solve challenging problems and used Data Structure efficiently. This 53 hours of course covers each topic in greater details, every topic is covered on Whiteboard which will improve your Problem Solving and Analytical Skills. Every Data Structure is discussed, analysed and implemented with a Practical line-by-line coding . Source code for all Programs is available for you to download About Instructor I am the Instructor of this course, I have been teaching this course to university students for a long period of time, I know the pulse of students very well, I know how to present the topic so that it‚ s easy to grasp for students. I know how to use White board to explain the topic and also to make it memorable. Remembering the thing and using them in right place is more important than just understanding the topic . After Completing Course After completing this course you will be confident enough to take up any challenging problem in coding using Data Structures. Course Contents 1. Recursion 2. Arrays Representation 3. Array ADT 4. Linked List 5. Stack 6. Queues 7. Trees 8. Binary Search Tree 9. AVL Trees 10. Graphs 11. Hashing Technique

    Online self studyIntermediate
    ₹ 11,200 Enquire Now

    , Operations

    Offered by:  UDEMY
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