# Maths & Stats For Data science

Learn Statistic from Scratch and get complete Hands-on Practical Learning Experience Just in 1 month.

### 1-1 Skype Live Doubt Clearance

From 03:00 P.M to 11.59 P.M every day (including weekends)

## Why Should We Learn Statistics For Data Science?

### 30+

Registrations per day

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Followers on Social Media.

## What will you learn in this Course?

In this topic we have covered introduction of vector, addition, subtraction, dot product, coordinate system, arithmetic operations, Eigenvectors and eigenvalues etc

In this topic we have covered it’s type, property, rank and nullity etc

Starting with an introduction, we have covered all its cases.

We have covered norms, changing coordinates, independent vectors and basis vectors.

In this section we have covered functions, derivatives, integration, maxima and minima and gradient descent.

In this part we have covered mean median and mode.

After it’s introduction we have covered how we use it’s mean, variance, and standard deviation of one to find other.

We have covered it’s introduction and after that types of events with examples, types of probability (Conditional, marginal ) , random variable.

We have covered prbobability distribution, normal distribution, binomial distribution, Poisson distribution.

One of the famous theorem of statistics which states that any distribution follows normal if taken enough samples(>30).

In this part we will discuss what is hypothesis and why do we need it

In this section we will cover z test, t test, one – sample t test, two- sample t test, paired t test, chi2 test etc

We will cover what is ANOVA test, types of ANOVA etc

Here we will cover what are these terms and how it’s relevant in data science.

In this assignment we will apply the learnings of central tendency, variability on the housing dataset.

This assignment it used to check the variability of the dataset and suggest the best mobile phone according to the requirement of the customer.

It will help you to implement conduct an independent two sample t-test to check if you hypothesis is accepted or rejected.

This assignment will conduct t-test on samples and use z score to see if hypothesis is accepted or rejected.

## CompleteCourse Fee

( Everything with Lifetime Access )
1499
• Guided Hands-on Assignment
• 1-1 Doubt Clearance Support
• Course Completion Certificate
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## Hello, I'm Akash. I'm A Data Scientist.

I have transitioned my career from Manual Tester to Data Scientist by upskilling myself on my own from various online resources and doing lots of Hands-on practice. For internal switch I sent around 150 mails to different project managers, interviewed in 20 and got selected in 10 projects.

When it came to changing company I put papers with NO offers in hand. And in the notice period I struggled to get a job. First 2 months were very difficult but in the last month things started changing miraculously.

I attended 40+ interviews in span of 3 months with the help of Naukri and LinkedIn profile Optimizations and got offer by 8 companies.

## CloudyML Course Completion Cetificate Sample

Get Amazed By Our most Appealing Data Science Mega Combo Course

• You will get Assignment Based Learning that will super boost your confidence in coding skills.
• Here you will get Doubt Clearance from our mentors for all assignment, projects and interview Q&As related queries everyday including Weekends-Saturday and Sunday.
• You will get latest interview Q&A mail and also information about jobs and we will keep you motivated and Josh “High” !

The course is designed in the form of Assignments. In Assignments we have topic wise video links followed by related questions. You are supposed to code the solutions.

If you are stuck somewhere then you can reach to our mentors. They are available from 3P.M to 11:59 P.M everyday. After completion you need to submit the assignment and you will receive the solution file.

Our mentors team comprises of M.tech and B.tech students with good technical skill to resolve your course and assignments related queries

No. There is no placement as part of the course. The course focuses on skill development for being able to clear Data science interviews.

This course has been designed keeping beginners in mind. You will be able to learn as we start from basics. We have many learners doing this course who had no prior coding experience.