Data Analytics

4375 Ratings (4.7)

Data Analytics course curriculum provides extensive knowledge of Data Collection, Extraction, Cleansing, Exploration, and Transformation. Alongside the Data Mining, Data Integration is done with feature Engineering to build Prediction models for Data Visualization and deploying the solution. You name the skill set and our trainers are always there to handle the new generation tools with latest versions.

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About the course

Data Analytics course curriculum provides extensive knowledge of Data Collection, Extraction, Cleansing, Exploration, and Transformation. Alongside the Data Mining, Data Integration is done with feature Engineering to build Prediction models for Data Visualization and deploying the solution. You name the skill set and our trainers are always there to handle the new generation tools with latest versions.

As a part of the Data Analytics training, the range of skills and tools that are emphasized in the course include Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, Tableau, Spark, Hadoop, programming languages like R and Python.

Course Contents

Data Science Project Lifecycle
  • Recap of Demo
  • Introduction to Types of Analytics
  • Project life cycle
  • An introduction to our E learning platform
Introduction To Basic Statistics Using R And Python
  • Data Types
  • Measure Of central tendency
  • Measures of Dispersion
  • Graphical Techniques
  • Skewness & Kurtosis
  • Box Plot
  • R
  • R Studio
  • Descriptive Stats in R
  • Python (Installation and basic commands) and Libraries
  • Jupyter note book
  • Set up Github
  • Descriptive Stats in Python
  • Pandas and Matplotlib / Seaborn
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data-analytics

Course Prerequisites

  • Some programming experience (preferred)
  • Structured thinking approach
  • Passion for solving problems
  • Willingness to learn statistical concepts

Who should attend?

  • Professionals or fresher’s who are really serious about making a career in Data Analytics can do this course
  • Individuals from any domain who possess logical thinking about mathematical and analytical skills
  • People who are working on business intelligence tools, data warehousing and reporting tools
  • Statisticians, Economists, Mathematicians
  • Software programmers
  • Business Analysts
  • Six Sigma Consultants
  • Digital Marketing professionals
  • Freshers from any stream with good analytical and logical skills

Number of Hours: 50hrs

Certification

Associate Certified Analytics Professional (aCAP)

Certified Analytics Professional (CAP)

Keyfeatures

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

FAQs

TechyEdz in BTM Layout 2nd Stage offers long-term courses, short-term courses and certification courses. Inclusive of comprehensive learning, the long-term program feature subjects such as Web- Development, Digital Marketing, Computer Application and Programming, Information Technology and Data Science. Some of the short-term courses cover topics like Cloud, RPA, Big Data, Microsoft, VMware & Oracle. Walk into this center all through the week between 07:00am – 09:00pm. Pay in Cash, Debit Cards, Credit Card and Online Payment.

TechyEdz Software Specialization in developing customized suite of HR consulting solutions based on the operational models of our clients with a special focus on small & Large Enterprises. We bring practical, results driven HR Practice to our clients business that would help them retain people, Improve business productivity and performance of employee.

TechyEdz Software Specialization in developing customized suite of HR consulting solutions based on the operational models of our clients with a special focus on small & Large Enterprises. We bring practical, results driven HR Practice to our clients business that would help them retain people, Improve business productivity and performance of employee.