Data Science training to develop in-depth
knowledge in data collection & data mining

Objectives

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 Outcome

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

Why Mazenet?



  • Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

  • Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround 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

  • Customized Training Modules

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

  • Certification

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

  • Multi-language Support

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

  • Personalized Training Reports

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

  • Industry-Oriented Training

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

  • Diverse Training Platforms

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

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.