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India
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apply data program techniques and procedures
experience with ms office and data programs
responding to the user requests and problems
retrieve data as requestedcreate and manage spreadsheets with large numbers of figures
verify data by comparing it to source documents
update existing data
produce reports
perform regular backups to ensure data preservation
sort, organize and store paperwork after entering data
the profile
you possess strong analytical skills and are comfortable dealing with numerical data
proven data entry work experience as a data entry operatorjob description:
we're looking for a data entry operator for data entry job in hyderabad to update and maintain information on our databases and systems
review data for deficiencies or errors, correct any incompatibilities if possible, and check the output
responsibilities:
insert customer and account data by inputting text-based and numerical information from source documents within time limits
data entry operator responsibilities include collecting and entering data in databases and maintaining accurate records of valuable company informationour ideal candidate has essential data skills, like fast typing with an eye for detail and familiarity with spreadsheets, ms word, mathematical formulas, and online forms
you pay strong attention to detail and deliver work that is of a high standard
you are adaptable and thrive in changing environments
role: administration - other
industry type: it & ites
functional area: administration & facilities
employment type: full time, permanent
role category: administration
education
ug: any graduate
pg: any postgraduate
key skills
typing, word, numerical, spreadsheets, computer operating, data processing, career development, ms office, data entry operation, deep learning
makes appropriate changes to the documentation, as neededHyderabad (Andhra Pradesh)
₹ 500016
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data science encompasses various activities, including data collection, data cleaning and preprocessing, exploratory data analysis, feature engineering, model selection and evaluation, and communication of resultsit also involves using machine learning algorithms, data visualization, and statistical analysis to make predictions and provide actionable insights based on datadata science enables personalized customer interactions, leading to enhanced customer experience and loyaltyits goal is to provide actionable insights, predictions, and recommendations based on data by using techniques such as machine learning algorithms, data visualization, and statistical analysisif you are looking for the best platform to learn data science, is an interdisciplinary field that uses statistical and computational methods to extract insights and knowledge from data
data science provides numerous benefits to organizations, including better decision-making by identifying patterns, trends, and opportunities from dataoverall, data science is a valuable tool for organizations to improve their performance and achieve their business goals
best platform to learn data science, is a field that can be learned by anyone with the right resources and dedication, and there are many online courses, books, and tutorials available to help individuals learn the necessary skills and one of the best platform to learn data science is talentservedata science is used in various industries, including finance, healthcare, marketing, and technology, to solve problems such as fraud detection, risk management, and predictive maintenanceemployment in the field of data science is projected to grow by 11% from 2019 to 2029, which is much faster than the average for all occupations, due to the increasing demand for data-driven insights in various industriesorganizations can reduce costs and gain a competitive advantage by optimizing their operations and providing better customer experiencefor more, details visit our site:https://wwwit also improves efficiency by automating tasks and streamlining processesorg/course-datascience
course content
introduction to python
basic steps
numpy
data visualization
pandas
exceptions and errors
introduction to artificial intelligence and machine learning
data wrangling and manipulation
supervised learning
supervised learning-classification
unsupervised learning
machine learning pipeline building
decision tree analysis and ensemble learning
ai and deep learning introduction
artificial neural network
deep neural network & tools
deep neural net optimization, tuning, interpretability
convolutional neural net
recurrent neural networks
overfit and underfit
transfer learning
working with generative adversarial networks
pytorch
c-103, 1st floor, shree sai tower, chsl, sodawala lane, near sterling hospital, borivali (w), mumbai-400092
hello@talentserveAgra (Uttar Pradesh)
₹ 1
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