Statistics for Data Science

BY
DataMites

Give a statistical edge to your data science skills by enrolling in Statistics for Data Science online course brought to you by DataMites.

Mode

Online

Duration

6 Months

Fees

₹ 15900 26000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based

Course overview

As data science is all about extracting insights from data, statistics has become an indispensable knowledge area, as it primarily deals in data. However, the area of statistics is quite vast and requires a significant investment of time and effort to gain practitioner-level knowledge. This Statistics for Data Science online course is expressly designed to impart essential statistics knowledge to aspiring and practising data scientists.

The Statistics for the Data Science certification course takes a hands-on approach by applying statistics concepts through various real-life case studies on the python platform. This enables you to learn key statistical concepts in the shortest and most efficient way. The syllabus tackles concepts like inferential statistics, descriptive statistics, EDA, harnessing data, correlation, and regression.

The best part about the Statistics for the Data Science classes programme is that you receive an IABAC board certificate when you complete it, which can provide a significant flair to your resume or portfolio. In a nutshell, DataMites offers high-quality training with a hands-on, case study-based approach aligned with international standards. 

The highlights

  • Career-oriented course
  • End-to-end placement assistance
  • Hands-on projects
  • Expert faculty
  • Hands-on, case study-based approach
  • Intensive 2-day classroom training
  • Online live virtual training
  • Certification by IABAC

Program offerings

  • Career-focused curriculum
  • Expert trainers
  • Hands-on projects
  • Certificate by iabac
  • Online training
  • Blended training
  • Classroom training.

Course and certificate fees

Fees information
₹ 15,900  ₹26,000

You have three enrolment options to choose from while registering for the Statistics for Data Science online training. All the options have different pricing. Here are the details.

Fee structure

Mode of learningTotal FeeDiscounted Fee
Live Virtual Rs. 26,000Rs. 15,900
Blended Learning Rs. 16,000
Rs. 9,900
Classroom Rs. 26,000
Rs. 18,900
certificate availability

Yes

certificate providing authority

IABAC

Who it is for

The Statistics for Data Science certification course is a perfect fit for:

  • Managers who wish to make data-driven decisions 
  • Research students who wish to gain essential statistics skills
  • Business analysts who want to improve their analysis through statistical methods.
  • Data engineers and any related professionals who want to enhance their statistical knowledge.
  • Anyone who wishes to embark on a career in Data Science.

Eligibility criteria

It’s recommended that you have an introductory level of command over programming and mathematics before enrolling in Statistics for Data Science online course. However, these requirements are not mandatory.

You will have to complete the course modules, projects and appear for the final exam for the certificate. 

What you will learn

Statistical skills Knowledge of python

By the end of the Statistics for Data Science course, you will be able to:

  • Solve case studies through the hands-on application of statistical methods with Python packages like SciPy and NumPy
  • Apply several statistical techniques like hypothesis testing on data
  • Apply various statistical data analysis methods and data harnessing methods 
  • Understand statistics in a broader sense through topics like descriptive statistics and inferential statistics

The syllabus

Introduction to Statistics

  • Two areas of Statistics in Data Science
  • Applied statistics in business
  • Descriptive Statistics
  • Inferential Statistics
  • Statistics Terms and definitions
  • Type of Data
  • Quantitative vs Qualitative Data
  • Data Measurement Scales

Harnessing Data

  • Sampling Data, with and without replacement
  • Sampling Methods, Random vs Non-Random
  • Measurement on Samples
  • Random Sampling methods
  • Simple random, Stratified, Cluster, Systematic sampling.
  • Biased vs unbiased sampling
  • Sampling Error
  • Data Collection methods

Exploratory Analysis

  • Measures of Central Tendencies
  • Mean, Median and Mode
  • Data Variability : Range, Quartiles, Standard Deviation
  • Calculating Standard Deviation
  • Z-Score/Standard Score
  • Empirical Rule
  • Calculating Percentiles
  • Outliers

Distributions

  • Distribtuions Introduction
  • Normal Distribution
  • Central Limit Theorem
  • Histogram - Normalization
  • Other Distributions: Poisson, Binomial et.,
  • Normality Testing
  • Skewness
  • Kurtosis
  • Measure of Distance
  • Euclidean , Manhattan and Minkowski Distance

Hypothesis & computational Techniques

  • Hypothesis Testing
  • Null Hypothesis, P-Value
  • Need for Hypothesis Testing in Business
  • Two tailed, Left tailed & Right tailed test
  • Hypothesis Testing Outcomes : Type I & II erros
  • Parametric vs Non-Parametric Testing
  • Parametric Tests ,  T - Tests : One sample, two sample, Paired
  • One Way ANOVA
  • Importance of Parametric Tests
  • Non Parametric Tests : Chi-Square, Mann-Whitney, Kruskal-Wallis etc.,
  • Which Test to Choose?
  • Ascerting accuracy of Data

Correlation and Regression

  • Introduction to Regression
  • Type of Regression
  • Hands on of Regression with R and Python.
  • Correlation
  • Weak and Strong Correlation
  • Finding Correlation with R and Python

Admission details

To participate in the Statistics for Data Science training, you should visit the course website first. Once you’re on the course page, read all the course-related details thoroughly. Next, click on the ‘Enquire Now’ option. Enter your email ID, name, phone number, and company name. After you submit your details, personnel from DataMites will get in touch with you regarding further steps.

Evaluation process

You can choose your date and time to appear for the Statistics of Data Science certification exam. The registration fee for the exam is included in the tuition fee.

How it helps

The Statistics of Data Science course benefits include placement assistance, career-based curriculum, IABAC certificate, various learning options, hands-on projects, and case studies. 

FAQs

How will I receive my online Statistics for Data Science certificates?

DataMites will have your certificates couriered to your registered address. You can also pick them up yourself by showing valid ID proof.

Do I have to appear for the exam immediately after completing the course?

No, it is up to you to decide your exam date. DataMites recommends appearing for the exam within one month of course completion.

Can I discontinue a programme and join at a later point in time?

Yes, if you have a valid reason, you can take a break and resume at a later point in time.

Does the placement assistance of Statistics for Data Science online course guarantee a job?

No, DataMites’ career assistance team doesn’t guarantee a job. But it will help you build the necessary skills that will improve your chances of landing a job.

Who is the accrediting body?

The certification is accredited by IABAC.

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