Opportunities for data scientists are rapidly growing in response to the exponential amounts of data being captured and analyzed. Edureka offers various Data Science certifications in Data analytics, predictive modeling, and others to help you kick-start your career as a Data Scientist.
Edureka's Data Science Training will enable you to learn Data Science concepts from scratch. This Data Science Certification 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 essential for Data Science. This Data Science Certification will also make you understand the various types of Machine Learning, Recommendation Systems and many more Data Science concepts, to help you get started with your Data Science career.
Edureka’s Machine Learning Certification Training using Python will help you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. This Machine Learning Training will also help you understand the concepts of Statistics, Time Series, and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Machine Learning Training, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.
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 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.
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.
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.
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.
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.
"PMP®","PMI®", "PMI-ACP®" and "PMBOK®" are registered marks of the Project Management Institute, Inc. MongoDB®, Mongo and the leaf logo are the registered trademarks of MongoDB, Inc.
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