UrbanPro

Learn Data Science from the Best Tutors

  • Affordable fees
  • 1-1 or Group class
  • Flexible Timings
  • Verified Tutors

Search in

What statistics should I know to do data science?

Asked by Last Modified  

Follow 2
Answer

Please enter your answer

Data Science Professional with more than 8 years of Experience in Finance

These are some statistical techniques you should know: 1) z-test, t-test, Chi-square 2)ANOVA,Degree of Freedom 3) Tests for assumptions for linear regression(Autocorrelation, heteroskedacity, etc) 4) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts...
read more

These are some statistical techniques you should know:

1) z-test, t-test, Chi-square

2)ANOVA,Degree of Freedom

3) Tests for assumptions for linear regression(Autocorrelation, heteroskedacity, etc)

4) Time-series - ACF,PACF, Seasonality tests

5) Core-concepts - Covariance,correlation

6) Concepts like - KS-stastic, Ginni Index, Lorenz Curve, AUC

7) Confusion Matrix, Precision-Recall, Decile Analysis

8) All statsical modelling - Linear, Logisitic, Decision Trees

9) Theoroms like Bayes, Central Tendency

10) Sampling method -random, stratified random,etc

 

As statistics is a very expanse subject, you should focus on statistics for business if your focus is career develpoment. You can book a demo class for more understanding

read less
Comments

My teaching experience 12 years

These are some statistical techniques you should know: 1) z-test, t-test, Chi-square 2)ANOVA,Degree of Freedom 3) Tests for assumptions for linear regression(Autocorrelation, heteroskedacity, etc) 4) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like...
read more
These are some statistical techniques you should know: 1) z-test, t-test, Chi-square 2)ANOVA,Degree of Freedom 3) Tests for assumptions for linear regression(Autocorrelation, heteroskedacity, etc) 4) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like - KS-stastic, Ginni Index, Lorenz Curve, AUC 7) Confusion Matrix, Precision-Recall, Decile Analysis 8) All statsical modelling - Linear, Logisitic, Decision Trees 9) Theoroms like Bayes, Central Tendency 10) Sampling method -random, stratified random,etc As statistics is a very expanse subject, you should focus on statistics for business if your focus is career develpoment. You can book a demo class for more understanding read less
Comments

Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

These are some statistical techniques you should know: 1) z-test, t-test, Chi-square 2)ANOVA,Degree of Freedom 3) Tests for assumptions for linear regression(Autocorrelation, heteroskedacity, etc) 4) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like...
read more
These are some statistical techniques you should know: 1) z-test, t-test, Chi-square 2)ANOVA,Degree of Freedom 3) Tests for assumptions for linear regression(Autocorrelation, heteroskedacity, etc) 4) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like - KS-stastic, Ginni Index, Lorenz Curve, AUC 7) Confusion Matrix, Precision-Recall, Decile Analysis 8) All statsical modelling - Linear, Logisitic, Decision Trees 9) Theoroms like Bayes, Central Tendency 10) Sampling method -random, stratified random,etc As statistics is a very expanse subject, you should focus on statistics for business if your focus is career develpoment. You can book a demo class for more understanding read less
Comments

View 1 more Answers

Related Questions

I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for  training. Pease lemme know how i can prepare myself.

First of all you start leaning following. 1.Database(Sql,Nosql) 2 Python,Pandas,Numpy 3 Basic Linux,Big Data(Hadoop,Scala,Spark) 4. Machine Learning 5. Deep Learning
Vishal
What are the topics covered in Data Science?
Data science includes: 1. **Statistics**: Basics of analyzing data.2. **Programming**: Using languages like Python or R.3. **Data Wrangling**: Cleaning and organizing data.4. **Data Visualization**: Making...
Damanpreet
0 0
5
I have 2+ yrs working experience in BI domain. Can I pursue Data science for a job change? Will I get Job opportunity as per my experience or not in field of data science? R or python what to chose?
Hi Asish you can choose R or Python selecting programming tools is not criteria learning Deep Analytics is most important you should focus on Mathematicsfor (classification algorithms) statistics(EDA...
Asish
0 0
8
Which are the best course, big data or data science, for beginners with a non-tech background?
A good question! For the non-technical person, I would recommend learning python by heart. After you know python, then you can decide because every latest technology is using python only. Happy learning! Ps:...
Priya

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

Big Data & Hadoop - Introductory Session - Data Science for Everyone
Data Science for Everyone An introductory video lesson on Big Data, the need, necessity, evolution and contributing factors. This is presented by Skill Sigma as part of the "Data Science for Everyone" series.

Decision Tree or Linear Model For Solving A Business Problem
When do we use linear models and when do we use tree based classification models? This is common question often been asked in data science job interview. Here are some points to remember: We can use any...

Data Science: Case Studies
Modules Training Practice Case Studies Module 2: Data Visualization and Summarization 10 15 1. Crime Data 2. Depression & anxiety 3....

R vs Statistics
I frequently asked the below question from my students: 'Do I You need Statistics to learn R Programming?' The answer is, NO. If you want to learn R programming only, Stat is not required. You can be...

DATA SCIENCE UNLEASHED Demo
DATA SCIENCE live demo recording This Demo addresses most of your basic questions about Data Science like What is Data Science ? What are the Pre requisites ? What all should I learn to call myself...
G

Gravitty

2 0
0

Recommended Articles

Applications engineering is a hot trend in the current IT market.  An applications engineer is responsible for designing and application of technology products relating to various aspects of computing. To accomplish this, he/she has to work collaboratively with the company’s manufacturing, marketing, sales, and customer...

Read full article >

Software Development has been one of the most popular career trends since years. The reason behind this is the fact that software are being used almost everywhere today.  In all of our lives, from the morning’s alarm clock to the coffee maker, car, mobile phone, computer, ATM and in almost everything we use in our daily...

Read full article >

Almost all of us, inside the pocket, bag or on the table have a mobile phone, out of which 90% of us have a smartphone. The technology is advancing rapidly. When it comes to mobile phones, people today want much more than just making phone calls and playing games on the go. People now want instant access to all their business...

Read full article >

Hadoop is a framework which has been developed for organizing and analysing big chunks of data for a business. Suppose you have a file larger than your system’s storage capacity and you can’t store it. Hadoop helps in storing bigger files than what could be stored on one particular server. You can therefore store very,...

Read full article >

Looking for Data Science Classes?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you
X

Looking for Data Science Classes?

The best tutors for Data Science Classes are on UrbanPro

  • Select the best Tutor
  • Book & Attend a Free Demo
  • Pay and start Learning

Learn Data Science with the Best Tutors

The best Tutors for Data Science Classes are on UrbanPro

This website uses cookies

We use cookies to improve user experience. Choose what cookies you allow us to use. You can read more about our Cookie Policy in our Privacy Policy

Accept All
Decline All

UrbanPro.com is India's largest network of most trusted tutors and institutes. Over 55 lakh students rely on UrbanPro.com, to fulfill their learning requirements across 1,000+ categories. Using UrbanPro.com, parents, and students can compare multiple Tutors and Institutes and choose the one that best suits their requirements. More than 7.5 lakh verified Tutors and Institutes are helping millions of students every day and growing their tutoring business on UrbanPro.com. Whether you are looking for a tutor to learn mathematics, a German language trainer to brush up your German language skills or an institute to upgrade your IT skills, we have got the best selection of Tutors and Training Institutes for you. Read more