Statistician

Master Program1034 Ratings

STATISTICIAN A statistician is the backbone of any analysis work. For any major field like Research, Data Scientist, Artificial Intelligence, Physics etc Statistician are most in demand. Study of statistic makes you capable to work in several fields, some majors are

  1. Ecology
  2. Geology
  3. Marketing
  4. Sales
  5. Engineering
  6. Analysis
  7. Survey
  8. Pharmacology
  9. Education
  10. Data Analysis
  11. Prediction
  12. Consulting
  13. Agriculture

And these are few fields only. One of the major field today  Data Scientist are considered to be very eligible for the work if they have any certification in Statistic. You may say this is the very first step to become a Data Scientist.

  • Live interaction with Industry leadershipIncludes live Master Classes and Ask me anything sessions
  • 100+ hours of live interactive learningLive Online classes by industry experts
  • With real time projectsBuilt on datasets of various scenarios & real time problems
  • ITlearn360 JobAssistGet noticed by the top hiring companies

Who can choose this career

Professional, Student, Research and anyone who wants to learn statistic for any reason.

Requirements

Basic math is all you need to understand all concept.

Learning Path

  • Course 1

    Statistics For Data Science

    The statistic is a beautiful field which plays under the huge tree of calculation known as Mathematics. Statistics aka "STATS" is a branch that plays around data collection, organization, analysis, interpretation and presentation. It is the very tools used worldwide solve any analytical problem from business to the education system, from research to development and yes STATS is a complete deep subject in itself and is the backbone of any analysis and data science.
    Course curriculum

    Module 1: Statistic

    • 1.1  What Why How Of Stats
    • 1.1  Stats Introduction
    • 1.1  Stats Population And Sample
    • 1.1  Stats Topic We Gonna Cover

    Module 2: Data And Stats

    • 2.1  Data Type
    • 2.1  Descriptive Inferential
    • 2.1  Frequency Distribution
    • 2.1  Frequency Distributions Visualization
    • 2.1  Central Tendency
    • 2.1  Standard Deviation
    • 2.1  M.A.D.
    • 2.1  C. O. V.
    • 2.1  Moments

    Module 3: Plots And Lines

    • 3.1  Quarantines
    • 3.1  Skewness
    • 3.1  Kurtosis
    • 3.1  Regression Analysis
    • 3.1  Correlation
    • 3.1  Normal Distribution

    Module 4: Formulas And Stats

    • 4.1  Euclidean
    • 4.1  Part 1 Manhattan
    • 4.1  Part 2 Malinowski

    Module 5: Bonus Videos For You :)

    • 5.1  Anova Bonus Video
    • 5.1  Black Scholes Bonus Video
    • 5.1  Chi-Distribution,Permutation,Combination,Cumulative Frequency Bonus Video
    • 5.1  C.O.V. And C.C. Bonus Video
    • 5.1  Data Collection Bonus Video
    • 5.1  Hypo And Patterns Bonus Video
    • 5.1  Kutosis Bonus Video
    • 5.1  Probability Bonus Video
    • 5.1  Bayesian Theory Bonus Video
    • 5.1  Type Error Bonus Video " Thanks You " Last Bonus Video