Knowledge Hut

DECEMBER 6, 2023

Career Options after Completing Engineering in Computer Science For a long time, Computer Engineering has remained the primary career focus for young, smart, and ambitious — and has been in high demand because of the opportunities it presented for lucrative careers in the booming IT field. 3-10 LPA USA: The average salary is $ 85,533.

Engineering 52

Engineering Computer Science Programming Language Education 52

Knowledge Hut

MARCH 26, 2024

To find patterns, trends, and correlations among massive amounts of data, they leverage their knowledge in machine learning, statistics, and data analysis. Predictive systems and machine learning algorithms present results in an understandable way. To create applications, use programming languages.

Medical 52

Medical BI Programming Language Healthcare 52

Knowledge Hut

JANUARY 19, 2024

Deep dive into data science concepts, covering subjects such as follows: Subject Name Information Statistics and Probability The fundamentals of probability and statistical science, including basics of linear algebra. Data Manipulation Techniques to organize and present data meaningfully.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Why are Hadoop Big Data Tools Needed?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

APRIL 20, 2023

In this post, we'll look at the parallels and distinctions between both professions to help you understand the difference between cybersecurity and data science. Parameters Cybersecurity Data Science Expertise Protects computer systems and networks against unwanted access or assault.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

OCTOBER 28, 2021

Machine Learning is receiving so much traction because it reveals insightful facts from a given dataset that would not have been gained access to by using other tools. One need not spend too much time practising maths problems as most complex problems can be solved using the built-in functions of a programming language.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Knowledge Hut

FEBRUARY 27, 2023

Data engineering is all about building, designing, and optimizing systems for acquiring, storing, accessing, and analyzing data at scale. Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

U-Next

AUGUST 11, 2022

The present era is truly the golden age of technology. The only differentiators are ‘Consciousness’ and ’emotionality,’ being present only in the latter. Expertise in these areas will not only secure your present but will promise a bright future in the coming decades because AI and ML are the future.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Engineering involves designing and building data pipelines that extract, analyze, and convert data into a valuable and meaningful format for predictive and prescriptive modeling.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

NOVEMBER 3, 2021

If you are tired of googling how to become a freelance data scientist , you need to relax because your search is finally over. In this blog, we have presented a step by step guide for becoming a freelance data scientist and a quick and easy way of getting hired as a freelance data scientist.

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

ProjectPro

DECEMBER 21, 2021

This includes knowledge of data structures (such as stack, queue, tree, etc.), A Machine Learning professional needs to have a solid grasp on at least one programming language such as Python, C/C++, R, Java, Spark, Hadoop, etc. A data engineer's average annual pay in the United States is $116,950, with a $5,000 cash bonus.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

SEPTEMBER 6, 2023

These certifications have big data training courses where tutors help you gain all the knowledge required for the certification exam. Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

AUGUST 13, 2021

Python Machine Learning Projects on GitHub In this section, you will find those machine learning projects that can be easily implemented using the Python Programming language. Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

JUNE 26, 2021

Actively participate in team meetings with Data Scientists and Machine Learning Engineers to present insightful results timely and neatly. Strong ability to code in programming languages like R/Python/Matlab. Deep understanding of Data Structures and algorithms. Strong foundation in Mathematics and Statistics.

Project 40

Project Deep Learning Datasets Medical 40

Knowledge Hut

FEBRUARY 15, 2023

Here are some most popular data analyst types (based on the industry), Business analyst Healthcare analyst Market research analyst Intelligence analyst Operations research analyst. Most remote data analyst jobs require fulfilling several responsibilities. Mining data includes collecting data from both primary and secondary sources.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

Knowledge Hut

FEBRUARY 7, 2023

Since almost all data science roles expect a certain level of programming skills, it becomes essential to build familiarity with a specific tool along with the data science fundamentals. To get started, the data science bootcamp duration provides the focused coaching required for a data science track.

Data Science 52

Data Science Datasets SQL Data Mining 52

ProjectPro

DECEMBER 7, 2021

The Ultimate Guide to Build a Data Analyst Portfolio In this blog, we'll provide you with some pointers to show you how to build a data analyst portfolio. We'll discuss what to put in your portfolio, the abilities you'll want to highlight, and how to create and present your work. What to Include in Your Data Analyst Portfolio?

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

ProjectPro

SEPTEMBER 26, 2021

The key responsibilities are deploying machine learning and statistical models , resolving data ambiguities, and managing of data pipelines. Big Data Engineer identifies the internal and external data sources to gather valid data sets and deals with multiple cloud computing environments.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling. What is Power BI Used For?

BI 52

BI Project Datasets Business Intelligence 52

Knowledge Hut

JANUARY 18, 2024

4 Purpose Utilize the derived findings and insights to make informed decisions The purpose of AI is to provide software capable enough to reason on the input provided and explain the output 5 Types of Data Different types of data can be used as input for the Data Science lifecycle.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist? They need knowledge of the main principles and programming languages.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

JUNE 24, 2021

Here is the list of key technical skills required for analytics job roles which can also be acquired by students or professionals from a non- technical background - SQL : Structured Query Language is required to query data present in databases. Even data that has to be filtered, will have to be stored in an updated location.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

OCTOBER 16, 2021

Hands-On Machine Learning with Scikit-learn and TensorFlow: The Introduction Scikit-learn is the go-to machine learning library for Data Scientists who work with Python programming language. About 60 attributes of different houses are present in the dataset on the basis of which one can choose the model.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

MAY 23, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Walmart was the world’s largest retailer in 2014 in terms of revenue. Walmart uses data mining to discover patterns in point of sales data.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

AUGUST 5, 2021

The data is present in the form of text and needs to be pre-processed. You might not be able to find a dataset that has a collection of Instagram spam comments, but you can collect the data for this analysis by scraping the web. Access the Instagram API with Python to get unlabelled comments from Instagram.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 24, 2021

In this data engineering project, you will apply data mining concepts to mine bitcoin using the freely available relative data. This is a straightforward project where you will extract data from APIs using Python, parse it, and save it to EC2 instances locally. So, how difficult is it to be a data engineer?

Data Engineering 52

Data Engineering Data Engineer Coding Project 52