Opportunities for data scientists-one of today's hottest jobs-are rapidly growing in response to the exponential amounts of data being captured and analyzed. In the competitive working landscape, which sees an endless flow of information and communication, data scientists help major decision makers shift from ad hoc analysis to an ongoing conversation with data. Edureka offers you certification courses in Data analytics, preditive modelling, and others to help you kick-start your career as a Data Scientist.
Edureka’s Data Science with Python course enables you to learn data science concepts from scratch. This Python Course will also help you master important Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science. Edureka's Python Certification Training course is also a gateway towards your Data Science career.
Machine Learning Certification Training using Python
Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.
Data Science Certification Course using R
Edureka's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.
Data Analytics with R Certification Training
Data Analytics with R training will help you gain expertise in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis and using R Studio for real life case studies on Retail, Social Media.
SAS Training and Certification
SAS Certification Training is intended to make you an expert in SAS programming and Analytics. You will be able to analyse and write SAS code for real problems, learn to use SAS to work with datasets, perform advanced statistical techniques to obtain optimized results with Advanced SAS programming.
Advanced Predictive Modelling in R Certification Training
R offers a free and open source environment that is perfect for both learning and deploying predictive modelling solutions. This Certification Training is intended for a broad audience as both, an introduction to predictive models as well as a guide to applying them, covering topics such as Ordinary Least Square Regression, Advanced Regression, Imputation, Dimensionality Reduction etc. Readers will also be able to learn basics of Statistics, such as Correlation and Linear Regression Analysis.
Decision Tree Modeling Using R Certification Training
Become a Decision Tree Modeling expert using R platform by mastering concepts like Data design, Regression Tree, Pruning and various algorithms like CHAID, CART, ID3, GINI and Random forest.
Statistics Essentials for Analytics
A self-paced course that helps you to
understand the various Statistical Techniques from the very basics and
how each technique is employed on a real world data set to analyze and
conclude insights. Statistics and its methods are the backend of
Data Science to "understand, analyze and predict actual phenomena".
Machine learning employs different techniques and theories drawn from statistical
& probabilistic fields.
Analytics for Retail Banks
Become a data-driven marketing expert by mastering concepts around analytics lifecycle, data infrastructure, customer lifecycle and digital trends while going through global retail banking case studies.
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