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Advanced Statistics for Data Scientist

COVERAGE

  • Introduction of Analytics
  • Basic Concept of Statistics
  • Concept of Supervised/Unsupervised
  • Concept of Descriptive Statistics
  • Data & Variable Definition
  • Correlation Analysis Concept of Graphs & Chart
  • Overall Accuracy
  • Bar Diagram
  • Poisson distribution
  • Types of statistical Testing
  • Standard Deviation/Variance
  • Pie Chart Concept of Statistical &Normal
  • Coefficient of Variation Covariance Analysis
  • Histogram Boxcox
  • Binomial
  • Mean/Median/Mode
  • Scatter Plot
  • Line
  • Multiple Linear Regression Analysis
  • T-Test
  • Anova
  • Concept of Hypothesis Testing
  • Chi-square test Regression Analysis
  • Model Accuracy checking
  • Logistic
  • Confusion Matrix
  • Recall / Sensitivity Precision F Score Decision Tree
  • Result interpretation Ensemble Model
  • Bagging Technique
  • Random Forest
  • Component Analysis
  • Concept of PCA
  • How it works in real data set Cluster Analysis K-means Cluster
  • Example Gradient Boosting Algorithm GBM Example Unsupervised Techniques Principal
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Saturday

May25

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Sunday

May26

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Saturday

Jun01

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Sunday

Jun02

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Saturday

Jun08

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Sunday

Jun09

02:00 PM - 06:00 PM

seatTotal Seats : Hurry Limited Seats Only

COURSE FEES

Rupees 6000 /-

Enquiry Now

ELIGIBILITY

Graduates

AGE

18+

MORE DETAILS

Deputy Director, Room No: 1, MSME TDC,
No. 65/1 GST Road, Guindy, Chennai - 32.
Ph: 044 - 22501529 Extn - 25
Mob: 96772 90237 / 94425 35085 / 91595 87689
Email: msmetdcchennai@gmail.com
Web Site: www.cftichennai.in

WHO CAN ATTEND

  • Data Engineers
  • Mathematics Graduates
  • Commerce Students
  • Statistics Aspirants
  • IT Professionals
  • Administrators
  • Faculty Members

LOCATION MAP

VENUE

3 Weekend Online Training Programme On

Adversitement

remarks