Tools & Technologies

  • cloudera
  • Hadoop mapreduce
  • hive
  • my sql
  • python
  • sas
  • spark
  • splunk
  • tensorflow
  • Add More

Data Science Training Objectives

  • Work with advanced analytics and complex statistical operations
  • Work with all the different types and techniques in Data Modeling
  • Applications of deep learning and machine learning
  • Analysis of big data for effective data mining
  • Learn how to use different tools like Tableau, Map Reduce
  • Creation of decision tree

Why Mazenet?

Expert Faculty

Our Faculty comprises of 150+ SMEs with more than 15 years of experience. All our trainers possess a minimum of 8+ years of experience.

Proven Track Record

We have served over 50 global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 100+ technologies with quick turn around time.

Blended Learning

We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

Learning Paths

The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

Case Study

We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

24*7 Global Availability

We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Key Features

virtual-led
Customized Training Modules

Training programs are highly flexible with module customizations to suit the requirements of the business units.

virtual-led
Certification

The training can be supplemented with appropriate certifications that are recognized across the industry.

virtual-led
Multi-language Support

Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

virtual-led
Personalized Training Reports

Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

virtual-led
Industry Oriented Training

Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

virtual-led
Diverse Training Platforms

Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Data Science Training

Mazenet has a well-researched courseware covering basics in Data Management, Statistics, and Analytics to advanced topics like Machine Learning, Neural Networks, and Big Data. Corporate employees will walk out of corporate training with an in-depth understanding of data science and it’s influences on various industries like telecom, e-commerce, transportation, and others.

Data Science Training in Mazenet covers a wide range of areas including Python, Machine Learning, Data Analytics with R, Data Science with R, Statistics Essentials for Analytics, SAS, Advanced Predictive Modelling in R, Analytics for Retail Banks and Decision Tree Modeling for Statistical Analysis, Regression Analysis, Data Mining, Machine Learning, Forecasting and Text Mining, and scripting algorithms.

The course modules are structured to give an empirical value and understanding to the candidates. However, all course modules are highly customizable and can be structured to suit the requirements of your organization.

Course Preview

  • Overview of Python
  • The Companies using Python
  • Other applications in which Python is used
  • Discuss Python Scripts on UNIX/Windows
  • Variables Operands and Expressions
  • Conditional Statements Loops
  • Command Line Arguments Writing to the screen
  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Base SAS
  • Base SAS Procedures
  • Advanced SAS
  • SAS/Macros
  • SAS/ODS
  • SAS/GRAPH
  • SAS/REPORTS
  • SAS/STAT
  • Linear Regression
  • Linear Equation
  • Slope
  • Intercept
  • R square value
  • Logistic regression
  • ODDS ratio
  • Probability of success
  • Probability of failure
  • ROC curve
  • Bias Variance Tradeoff
  • What is Data Normalization?
  • Data Normalization Rules - 1NF, 2NF, 3NF
  • Data Denormalization
  • Dimensional Modeling - What is DM?
  • Principles
  • Benefits
  • Type and Technique.

Our Clients

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