|Course or Certification Name||Category||Location||Mode of learning|
|MCSE Business Intelligence : 70-466 Implementing Data Models and Reports with Microsoft SQL Server||Online self study|
|Simplilearn Data Scientist Master's Program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Advanced Data Science for Practicing Business Analysts||Business Analytics||Classroom|
|Big Data Hadoop Expert Program - Online Classroom||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data Hadoop Architect Masters Program||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Scientist Master's program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Microsoft Excel for Data analyst||Financial modelling||Online self study|
|Cognixia Big Data and Hadoop Developer||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|XLRI Executive Program in Data Science using Python, R & Excel||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Machine Learning A-Z: Hands-On Python & R In Data Science||Machine Learning||Online self study|
|Big Data Analytics||Offline self study|
|Big Data Strategic Planning||Strategic Management||Online self study|
|Post Graduation Diploma in Data Science (PGD-DS)||Data Science||Classroom|
|Data Science Online Training Course||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|PG Certificate Program in Market Research & Data Analytics from Mica||Marketing Planning||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
Data modelling is the key to success in Business Intelligence (BI) and the cornerstone to building data warehouse applications.| This 70-466 Implementing Data Models and Reports with Microsoft SQL Server offers training to candidates to gain skills in reporting and analysis solutions for implementing data models and reports | Focussed on BI developers, the course provides high-quality online content developed by some of the prominent professionals in the industry | The course covers various topics like designing multidimensional models, implement and configure cubes, MDX queries, tabular data models and other related areas | A course-completion certification is awarded to the candidates
This Master’s Program provides training in the skills required to become a certified data scientist. You’ll learn the most in-demand technologies such as Data Science on R, SAS, Python, Big Data on Hadoop and implement concepts such as data exploration, regression models, hypothesis testing, Hadoop, and Spark.
Necessity and success of use of analytics have led to the creation of analytics cell in most organizations dealing with data driven decision making. The subject being relatively new, there is acute shortage of formally qualified professionals for this field. Consequently, many of these working professionals have acquired their skills by on the job trial and error experience using software tools available in the organizations without any formal exposure to this complex subject. This restricts their understanding of the subject, often preventing them from utilizing the full potential of modern statistical and machine learning tools and techniques. A formal exposure to the theories and principles of the underlying methods they use would have significantly enhanced the quality of solutions they would otherwise deliver. Familiarity with emerging methods, tools and techniques beyond the limited options they are exploring would also add to their productivity. It will be an opportunity for such a group of professionals to familiarize themselves with state of the art theories and principles of analytics in action.
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. | Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. | Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. | The ‘Impala-an Open Source SQL Engine for Hadoop’ is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem. | MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become MongoDB experienced professional. By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment. | Apache Kafka is an open source Apache project. It is a high-performance real-time messaging system that can process millions of messages per second. It provides a distributed and partitioned messaging system and is highly fault tolerant.
Big Data Hadoop Architect Program is a certification course that would help you build strong skill set in areas like Hadoop Development, Real time processing using Spark, and NoSQL database technology and transform you into a Hadoop Architect Expert. You would also be gain practical experience by implementing real life industry projects in the required Hadoop technologies.
Designed keeping in mind the needs of the new demand for strong analytics professionals, Data Scientist Masters program is equipped with all the conceptual and technical knowledge required in the analytics industry. This course also renders access to elearning content, resources, simulation exams and things that make certain the path to nurture your dream position of data scientist. Not only you gain strong analytic skill but business analytics and most in demand technologies like Python, R and SAS. Data scientist jobs are in great demand and perfect field for career.
The course is known to be one of the most sought-after spreadsheet programs and is very versatile to use for creating sophisticated financial models, household budget maintenance ad designing complex dashboards. The training is perfect for experts from any field like operations, finance, information technology, MIS, Administration and Human relations. Moreover, the course is endowed with all the hard skills and concepts needed to kick start your data analyst career. The course also targets certain business situations and tenders a solution for the same. Additionally, it includes latest and best tool provided for data visualization.
The most popular course tendering deep knowledge and insight into Big Data with Apaches Open Source Hadoop, Collabera Big Data and Hadoop Developer certification renders depth understanding. It includes MapReduce Frameworks, technologies like HBase, ZooKeeper, Pig, Flume and Hadoop Architecture. Become an expert in Hadoop and get familiar with industry based projects and cases. By engaging in this training certification, you will get the right experience to become certified Hadoop professional. Organizations are and continue to be looking for candidates with a right set of expertise for superb opportunities.
Businesses today are trying to engage with data science in one form or another. Unfortunately, only a few have been able to even grasp the idea of what constitutes data science, let alone implement it usefully and profitably. This program introduces its participants to the world of data science. The objective is to strip away all the distractions around data science – codes, tools, etc., and teach the techniques using practical cases that can be understood and appreciated by someone with an elementary knowledge of mathematics. This program uses hands-on approach to data science where participants get to work with data sets to generate insights for businesses. | The objective of this program is to introduce participants to the world of data science. The purpose of this program is to strip away all the distractions around data science – codes, tools, etc., and teach the techniques using practical cases that can be understood and appreciated by someone with an elementary knowledge of mathematics.
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.| Part 1 - Data Preprocessing | Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression | Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification | Part 4 - Clustering: K-Means, Hierarchical Clustering | Part 5 - Association Rule Learning: Apriori, Eclat | Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling | Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP | Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks | Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA |Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Big data is a fast-growing field and skills in the area are some of the most in demand today.The Big Data Analytics program from Queensland University of Technology (QUT) comprises four online courses that each look at a different element of big data.You’ll begin by examining how big data is collected and stored, before going on to explore how statistical inference, machine learning, mathematical modelling and data visualisation are used in its analysis.You’ll become familiar with predictive analysis, dimension reduction, machine learning, clustering techniques and decision trees, before going on to look at the maths that underpins many of the tools you can use to manage and analyse big data.Accessible for free on desktop, tablet or mobile and delivered in bite-sized chunks, the courses provide a flexible way to develop your big data analytics skills.
In order to adopt Big Data, senior leadership must be able to establish investment priorities, balance speed and cost, and ensure acceptance by the front line. But they must also build a plan based on data, analytic models, and tools. In this course, you will compare scaling up to scaling out, identify different analytical models, and learn how to secure funding for data initiatives.
Data Science or data-driven science is that field that enables one to extract insights from data using scientific processes. Data Science Online Training course enables you to understand the practical foundations, analyse and execute Big Data to Data Analytics projects. This course also covers advanced analytic methods and tools like MapR and Hadoop. It allows students to understand the applications of these methods and tools by getting hands-on experience working alongside real time data scientists.
This programme focuses on building a strong foundation in research & data analytics for entry-level to mid-level professionals. It will also cover the application of data analytical tools to assist strategic decision-making. The programme leans on practical and conceptual approaches that will be addressed through the sophisticated data analytic software. | It aims at providing a good understanding and a hands-on experience of the application of appropriate data analytic tools that are imperative in making effective decisions. | The programme will give an overview to develop strategies based on the findings from the data, to manage the organization. It will create a working knowledge of the research industry, the role of analytics and its relationship to strategy-building. | The programme has been designed in close consultation with the industry, to prepare entry-level and experienced professionals for a career in research & data analytics. It is set to provide the right base for working in analytical teams, in large corporations and outsourcing companies.