Data Science Training Course

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Data Science

This is a complete Data Science bootcamp specialization training course from Techie Trainers that provides you detailed learning in data science, data analytics, project life cycle, data acquisition, analysis, statistical methods and machine learning. You will gain expertise to deploy Recommenders using Apache Mahout, data analysis, data transformation, experimentation and evaluation.
1. Some college-level mathematics 2. Basic statistics (optional) 3. Some background in programming (basic familiarity with variables, functions, loops, etc in any language) is helpful.Other than that, beginners are welcome! 4. Knowledge in manipulating data in spreadsheets will be an advantage.
1. A developer aspiring to be a Data Science engineer / Data Scientist. 2. An analytic manager who is leading a team of analysts 3. A business analyst who wants to understand data science techniques 4. An information architect who wants to gain expertise in Data Science algorithms 5. An analytic professional who wants to work in Data Science or artificial intelligence 6. Graduates looking to build a career in Data Science 7. An experienced professional who would like to harness Data Science in their field. 8. A professional who wants to change his/her career into AI and Data Science.
Why Take This Course You will have an opportunity to work through a data science project end to end, from analyzing a data set to visualizing and communicating your data analysis. Through working on the class project, you will be exposed to and understand the skills that are needed to become a data scientist yourself.

Course Features

  • Lectures 13
  • Quizzes 0
  • Duration 40 hours
  • Skill level All levels
  • Language English
  • Students 654
  • Assessments Self
  • 0/13

    • Lecture1.1
      Introduction to Data Science and Statistical Analytics
    • Lecture1.2
      Introduction to R
    • Lecture1.3
      Data Exploration, Data Wrangling and R Data Structure
    • Lecture1.4
      Data Visualization
    • Lecture1.5
      Introduction to Statistics
    • Lecture1.6
      Predictive Modeling – 2 ( Logistic Regression)
    • Lecture1.7
      Decision Trees
    • Lecture1.8
      Unsupervised learning
    • Lecture1.9
      Association Analysis and Recommendation engine
    • Lecture1.10
      Sentiment Analysis
    • Lecture1.11
      Time Series
    • Lecture1.12
      Data Science Project
    • Lecture1.13
      Case Study

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