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"data entry operator" courses, certification and training

  1. Big Data Engineering Training Course

    Big data, in simple terms, refer to the huge amount of data set that cannot be usually analysed using traditional methods. Big data is a growing field and many businesses are adopting it to improve their business functions; leading to a spurt in the demand for expert professionals in the field. | Big Data Engineering course is aimed at providing the best-in-the-industry training to the candidates who are looking to get success in big data field | The course has quality online learning modules which have been developed by subject matter experts | Providing the necessary skills, the course has a comprehensive coverage of all important topics related to big data engineering

    101 Students
    1 HourOnline self studyIntermediate
    $ 133

    Big Data

    Offered by:  GetCertGo
  2. Big Data and Machine Learning Prodegree

    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.

    140 HoursOnline ClassroomIntermediate
    ₹ 80,000 Enquire Now

    Big Data, Data Science, Machine Learning, Data Analysis

    Offered by:  Imarticus
  3. HR Data Analyst

    By analyzing HR data you take the first step towards determining the impact of people-related policies on your organization’s bottom line. This entry-level course enables students to familiarize themselves with working on (HR) data using Microsoft Excel and Power BI.| The HR Analyst course is specifically tailored for those people that have little or no experience in processing and analyzing data. You will learn to extract, merge, clean and analyze datasets. At the end of the course, you will have built your own custom dashboard in Power BI.

    18 hoursOnline self studyBeginner
    ₹ 27,000 Enquire Now

    Data Analysis

    Brochure
    Offered by:  AIHR Academy
  4. Data Science Online Training Course

    Data Science or data-driven science is that field that enables one to extract insights from data using scientific processes. Data Science Online Training course enables you to understand the practical foundations, analyse and execute Big Data to Data Analytics projects. This course also covers advanced analytic methods and tools like MapR and Hadoop. It allows students to understand the applications of these methods and tools by getting hands-on experience working alongside real time data scientists.

    2514 Students
    Offered by:  Cognixia
  5. Data Visualization & Business Intelligence Expert

    Data Visualisation refers to the representation of data and information in visual forms. Business intelligence (BI) is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance. | This course has been designed to provide the best learning methods in the industry so that candidates get to understand the essentials of data visualization and business intelligence | Designed professional experts, the course offers in-depth knowledge on how to create effective data visualizations and of the different forms of visualizations | The course also helps candidates get hands-on experience on some of the prominent tools like Tableau and QlikView | Upon completion of the course, a certificate is awarded

    6.55 HoursOnline self studyIntermediate
    $ 285

    Tableau, Qlikview, Data Visualization

    Offered by:  Skillsoft
  6. 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
  7. Apache Spark and Scala (Online Classroom-Flexi Pass)

    Apache Spark is an open-source cluster-computing framework used for Big Data Processing. It combines SQL, streaming and complex analytics together seamlessly to handle a wide range of data processing scenarios. Scala is a general-purpose programming language which is supported by Apache Spark. This Apache Spark and Scala course is designed for candidates who want to advance their skills and expertise in Big Data Hadoop Ecosystem. Designed by experts in the industry, this course offers training on various topics like Spark Streaming, Spark SQL, Machine Learning Programming, GraphX Programming and Shell Scripting Spark. In addition to this, the candidates get to work on real life industry project. Upon completion of this course, successful candidates get experience certificate in Apache Spark and Scala.

    1107 Students
    47 HoursOnline ClassroomIntermediate
    $ 313 Enquire Now

    Big Data, Machine Learning, java, Operations

    Offered by:  Simplilearn
  8. The Python Mega Course: Build 10 Real World Applications

    The Python Mega Course is the most practical course you will find on the web today. So far, over 140,000 students have used the course to learn Python programming and to build real-world applications in Python 3. You will learn how to build Python apps during this course, even if you know nothing about programming. You will start from scratch and progressively build up your skills by creating some awesome Python programs ranging from webcam object detection apps, to data collector web apps that query data from SQL databases, to data visualization dashboards on the browser. The course has it all to make you an all-round Python programmer that not only knows Python but also the technologies you need to know to create professional applications. The course follows a modern-teaching approach where students learn by doing . You will start Python from scratch by creating simple programs first. Once you learn the basics, you will then start with the fun part, which is building 10 real-world applications. You will code the apps, guided step-by-step by easy video explanations and continuous support from the course instructor. The applications you will build in the course consist of database apps , web apps , desktop apps , web scraping scripts , webcam object detectors , web maps , data visualization dashboards , and more. These programs are not only great examples to help master Python, but you can also use them for your portfolio. By buying the course you will gain lifetime access to all of its videos, coding exercises, quizzes, code notebooks, cheat sheets, and the Q&A inside the course, where you can ask your questions and get an answer on the same day. On top of that, you are covered by the Udemy 30-day money-back guarantee , so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first 12 sections, you will learn Python basics such as functions, loops, and conditionals and learn how to apply the basics by doing some examples. If you already know the basics, then the first 12 sections can serve as a refresher. The other 20 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to write professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning the amazing Python programming language today! Frequently Asked Questions Will I be able to learn Python and find a job after completing this course? I have heard of quite a few success stories where students have rigorously followed the course and have found a job afterwards. However, whether you will be able to learn Python and be job-ready, heavily depends on you. If you merely watch the videos, without trying anything on your own, you will hardly learn anything. Instead, you have to try the code you see in the videos on your computer, change the code, run it, improve it further, run it again, fix the possible errors, try making a similar app, repeat, ask questions in the Q&A when you get stuck, and try to solve all the exercises in the course. That way you will certainly learn how to program with Python and be able to find a job. How much time will I need to complete the course? That depends on two factors: (1) Your background: Someone coming from a math or computer science background may be able to complete the course in a shorter time compared to someone coming from a social science background for example. (2) The effort you put in: If you just watch the videos, you may finish the course in two days. However, simply watching the videos is not enough. You need to experiment with the code you see in the videos. The more you experiment with it the better you become. Depending on the two factors I mentioned above, students spend from one week to three months to complete the course, most spending one month. I don't know anything about programming. Will I still be able to learn Python? This course assumes you have no previous knowledge of programming. Whenever a programming term is mentioned (e. G. a variable) the meaning of the term is explained thoroughly so you not only understand how to use that particular term in Python, you also understand what that term means in programming. Will I get support if I get stuck? Yes. Feel free to drop a question in the Q&A, and me, or my teaching assistant, will answer your questions within the same day. Does this course cover Python 2 or Python 3? Python 3 What IDE/editor is used in the course? Visual Studio Code is used in the course. It is very new and probably the best IDE that exists today. However, you can use your favorite IDE. The code will work the same, no matter the IDE. Does the course expire? No. Once you buy the course it's yours. I update the content regularly and all the updates are also included for free in the one-time purchase you make.

    Online self studyIntermediate
    ₹ 12,800 97% OFF ₹ 451 Take this Course

    Data Analysis, Data Visualization, Operations

    Offered by:  UDEMY
  9. Data Science Training

    Offered by:  Internshala
  10. Data Analytics with Microsoft Power BI

    Business intelligence boils down to knowing how to manage data to draw conclusions from otherwise meaningless information.

    0.9 HoursOnline self studyIntermediate
    $ 65

    Offered by:  Skillsoft
  11. Big Data Engineering Perspectives

    Big data is a term for data sets so large that traditional data processing applications can not be used to perform any sort of analysis. It is often semi structured or unstructured in form. There are a number of unique challenges that arise when companies begin to use big data. The least of which are the engineering concerns. This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.

    1.1 HoursOnline self studyIntermediate
    $ 65

    Big Data, Data Visualization

    Offered by:  Skillsoft
  12. Analytics & Data Science Master Subscription

    It is necessary to have expert analytics skills to become a high-valued professional in the Analytics & KPO industry. As the industry is evolving fast, professionals need to remain up-to-date with the latest technologies while being proficient in the popular ones. If you have a comprehensive skill set, you can get a chance to work with some of the top organisations in the industry. | This Analytics & Data Science Master Subscription course provides a holistic learning approach to candidates who want to become experts in the IT & Analytics industry. The course provides high-quality learning modules that cover major technologies and tools across multiple domains in the Analytics industry. | Some of the prominent course areas are Big data, Data Science, Machine Learning, Deep Learning, Power BI, Microsoft Excel, Data Modelling & more. | Candidates will have complete access to all the included courses for the whole course duration.

    Offered by:  Quickstart
  13. Python Certification Training for Data Science

    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 | Edureka's Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds | Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms | Edureka’s Python course 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.

    Offered by:  edureka
  14. Analytics & Data Science Master Subscription: 6 months

    It is necessary to have expert analytics skills to become a high-valued professional in the Analytics & KPO industry. As the industry is evolving fast, professionals need to remain up-to-date with the latest technologies while being proficient in the popular ones. If you have a comprehensive skill set, you can get a chance to work with some of the top organisations in the industry. | This Analytics & Data Science Master Subscription course provides a holistic learning approach to candidates who want to become experts in the IT & Analytics industry. The course provides high-quality learning modules that cover major technologies and tools across multiple domains in the Analytics industry. | Some of the prominent course areas are Big data, Data Science, Machine Learning, Deep Learning, Power BI, Microsoft Excel, Data Modelling & more. | Candidates will have complete access to all the included courses for the whole course duration.

    Offered by:  Quickstart
  15. Foundations for Big Data Analysis with SQL

    In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.

    19 hoursOnline self studyBeginner
    ₹ 3,517 Enquire Now

    Big Data, Virtual Machine, Data Analysis, Relational Databases

    Offered by:  Coursera
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