Knowledge Hut

JANUARY 19, 2024

Business Intelligence Transforming raw data into actionable insights for informed business decisions. Programming Languages Delving into programming languages such as R and Python, along with exposure to database languages like SQL. "The Art of Data Science" Roger D. . "Big

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 16, 2024

Programming Languages for Machine Learning Machine learning engineers need to code to train machines. Several programming languages can be used to do this. R Programming: R is a programming language built by statisticians specifically to work with programming that involves statistics.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

FEBRUARY 5, 2022

So, how can data analysis tools help us? It will introduce you to the basics of time series and shine a light on various tools used for Exploratory Data Analysis. You will learn how to preprocess the data and plot various graphs using libraries in Python. Many people believe that global warming is a hoax.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

ProjectPro

SEPTEMBER 27, 2021

Covariance In Finance and Portfolio Management Correlation vs. Covariance: Machine Learning Project Ideas FAQs Correlation vs. Covariance We will now explore the two statistical concepts often used together to perform exploratory data analysis over a dataset. How to find correlations among feature variables in R?

Datasets 52

Datasets Finance Portfolio Banking 52

ProjectPro

SEPTEMBER 26, 2021

Senior Big Data Engineer Salary, The average salary of a Big Data Engineer with over 8 to 10 years of experience is around $120K. The senior-level roles require expert knowledge and skills in complex data analysis and programming. It can go up to $170K annually as per the skill-set and expertise.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

NOVEMBER 10, 2016

For professionals planning to enter into the big world of big data they need to know few other skills along with Hadoop to meet the challenges confronted by organizations to solve big data problems- 1) Speed Up your Success in Hadoop by Learning Java 67% of Hadoop Developers are from a Java programming background.

Hadoop 52

Hadoop NoSQL Java Electronics 52

ProjectPro

FEBRUARY 24, 2016

Data science involves cleaning, preparing, and enriching data- Python has a great toolset for this. Python programming language helps data scientists get data into a form to be analyzed. 39% of the job postings on LinkedIn mention Python as a critical skill for data scientists. Computer Science vs.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Knowledge Hut

JANUARY 24, 2024

Programming Support Compared to Power BI, Tableau integrates much better with R. Power BI supports Data Analysis Expression and the M language for data manipulation and modeling. Data Visualization Tableau allows its users to customize dashboards specifically for devices. BI projects.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Knowledge Hut

MAY 31, 2023

Sales Data Analysis It involves the analysis of data on every aspect of a company’s sales. Excel or Google Sheets can clean and analyze data for charts and graphs. Python or R is good for advanced data analysis and statistical modeling, like looking for trends or making predictions.

Project 52

Project Datasets Media Python 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Loan Application Analysis 10. Airport Authority Data Analysis 12.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

JANUARY 20, 2022

Fundamentals Programming with Python/R The programming skills needed to understand machine learning are determined by how you intend to use it. Building machine learning models demands coding to handle big data, fine-tuning a model, etc., However, programming fundamentals are still needed.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

JANUARY 6, 2022

Pygal Learning Python for Data Analysis and Visualization FAQs Is matplotlib better than plotly? Which library is best for data visualization in Python? Why Use Python for Data Visualization? Python is a prevalent general-purpose programming language commonly used for data visualization in the data science community.

Python 52

Python Datasets Programming Language Data Science 52

Knowledge Hut

FEBRUARY 12, 2023

Mid-Level Jobs Most companies consider data science professionals with 2 to 6 years of experience for mid-level jobs and a suitable certification. The job expects the candidates to possess in-depth knowledge of programming languages, statistical tools, data visualization, and applied mathematics.

Data Science 52

Data Science Computer Science Portfolio Certification 52

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. GUI Dashboards They have integrated dashboards to help visualize the graphs and results for the clients.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

JUNE 17, 2015

Access Job Recommendation System Project with Source Code 3) Java - Average Salary $114,234 Java is a popular application programming language that has several other tech skills associated with it like Hadoop and Python. The demand for the old standby Java is at an all time high when combined with other big data technologies.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

ProjectPro

NOVEMBER 30, 2021

You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. A senior business analyst is often expected to possess knowledge of Big Data tools.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 21, 2015

IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.

Hadoop 40

Hadoop Big Data Metadata Java 40