Knowledge Hut

JANUARY 19, 2024

Exploring data science, I focus on key topics like statistical analysis, machine learning, data visualization, and programming in my course syllabus. Machine Learning Unpacking the process of making human language understandable to machines, including topics like regression analysis, Naive Bayes Algorithm, and more.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

SEPTEMBER 26, 2021

Knowledge and experience in Big Data frameworks, such as Hadoop , Apache Spark , etc., Similarly, professionals with a good understanding of the R programming language earn a median salary of $75,848. Machine Learning is one such example wherein an amalgamation of the two has given excellent applications.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

JUNE 30, 2023

It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books. You can pace your learning by joining data engineering courses such as the Bootcamp Data Engineer.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

ProjectPro

JUNE 17, 2015

We have gathered the list of top 15 cloud and big data skills that offer high paying big data and cloud computing jobs which fall between $120K to $130K- 1) Apache Hadoop - Average Salary $121,313 According to Dice, the pay for big data jobs for expertise in hadoop skills has increased by 11.6% from the last year.

Cloud Computing 40

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

ProjectPro

FEBRUARY 19, 2016

Top 7 Big Data Conferences in 2016 1) Strata + Hadoop World 2) Enterprise Data World 3) Data Science Conference 4) Data Summit 5) useR 6) International Conference on Data Mining, Internet Computing, and Big Data (BigData2016) 7) IEEE Big Data Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 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. Source Code: Customer Churn Prediction Recommended Reading: Is Data Science Hard to Learn?

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

MARCH 7, 2016

Whether you are a data scientist, Hadoop developer , data architect, data analyst or an individual aspiring for a career in analytics, you will find this list helpful. Learn Hadoop to become a Microsoft Certified Big Data Engineer. Get IBM Big Data Certification in Hadoop and Spark Now! that organizations urgently need.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

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

Knowledge Hut

OCTOBER 5, 2023

Besides AWS, you can also add Hadoop or Spark certifications to your merits. Data structures, data modeling, and programming skills are essential. However, if you have advanced or expert-level skills in Java, R programming language, Machine Learning, Hadoop, Spark, and other Big Data Frameworks, your salary will increase accordingly.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

ProjectPro

FEBRUARY 24, 2016

Also, they can expect higher data scientist salaries in line with the increasing demand for skilled talent as organizations accelerate their digital transformation post-COVID-19 recovery to hire more data science and machine learning practitioners across diverse sectors. Today, data scientists are useful in almost every industry.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40