Become a Data Analyst – Job training (beginner to advanced)

Become a Data Analyst – Job training (beginner to advanced), available at $19.99, has an average rating of 5, with 10 lectures, based on 1 reviews, and has 5 subscribers.

You will learn about Introduction to the field of Data Analysis How to build an Analyst's mindset An insight into the day-to-day tasks of a Data Analyst Introduction to Descriptive Statistics Terminology: Sample, Population, Statistic and Parameter Classification Prediction Association Pattern recognition Descriptive statistic Measures of Central Tendency and Dispersion Introduction to data visualisation using Python Univariate graphs, bi-variate graphs, and when to use which Inferential Analytics/Statistics Sample vs Population What is a Hypothesis: Null and alternate hypothesis, test statistic and how to frame a hypothesis for your test Normality and Central Limit theorem: Application to hypothesis testing and inference Types of test statistics How to perform the hypothesis test, p-value, Statistical Power, alpha (confidence), Hypothesis Rejection and Failure to Rejection Impact of sample size on confidence and statistical power Predictive Analytics Introduction to Predictive Analytics and various predictive tasks Introduction to Machine Learning, with examples of how each applies to real-life predictive analytics tasks Deep Dive into supervised (regression and classification) and unsupervised tasks Code examples This course is ideal for individuals who are Jobseekers or Aspiring Data Analysts or Entrepreneurs or Non tech candidates or Students in any domain or Career change aspirants It is particularly useful for Jobseekers or Aspiring Data Analysts or Entrepreneurs or Non tech candidates or Students in any domain or Career change aspirants.

Enroll now: Become a Data Analyst – Job training (beginner to advanced)

Summary

Title: Become a Data Analyst – Job training (beginner to advanced)

Price: $19.99

Average Rating: 5

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to the field of Data Analysis
How to build an Analyst's mindset
An insight into the day-to-day tasks of a Data Analyst
Introduction to Descriptive Statistics
Terminology: Sample, Population, Statistic and Parameter
Classification
Prediction
Association
Pattern recognition
Descriptive statistic
Measures of Central Tendency and Dispersion
Introduction to data visualisation using Python
Univariate graphs, bi-variate graphs, and when to use which
Inferential Analytics/Statistics
Sample vs Population
What is a Hypothesis: Null and alternate hypothesis, test statistic and how to frame a hypothesis for your test
Normality and Central Limit theorem: Application to hypothesis testing and inference
Types of test statistics
How to perform the hypothesis test, p-value, Statistical Power, alpha (confidence), Hypothesis Rejection and Failure to Rejection
Impact of sample size on confidence and statistical power
Predictive Analytics
Introduction to Predictive Analytics and various predictive tasks
Introduction to Machine Learning, with examples of how each applies to real-life predictive analytics tasks
Deep Dive into supervised (regression and classification) and unsupervised tasks
Code examples

Who Should Attend

Jobseekers
Aspiring Data Analysts
Entrepreneurs
Non tech candidates
Students in any domain
Career change aspirants

Target Audiences

Jobseekers
Aspiring Data Analysts
Entrepreneurs
Non tech candidates
Students in any domain
Career change aspirants

Welcome to ‘Data Analyst – Job training‘, a first-of-its kind short program designed for jobseekers and career change aspirants.

This course is specifically created as a JOB-BASED TRAINING program thereby teaching concepts hands-on and relevant to real-work environment. If you are looking for a job in Data Analysis or if you are a student who would like to get first experience in this domain, this course is exactly for you.

How is this program a JOB-BASED TRAININGand how will it equip you with skills relevant for your role:

What companies ask for a Data Analyst role?

Gather and collect data from various sources, ensuring data accuracy and completeness.
Clean and preprocess data to prepare it for analysis.
Clean and preprocess data to prepare it for analysis.
Create reports and dashboards to present key performance indicators (KPIs) and data-driven insights.
Apply statistical methods to analyze data and derive actionable insights.
Conduct hypothesis testing and regression analysis as needed.
Implement and maintain data quality standards.

How this course meets the requirements?

Learn how to import data in Python, usiung kaggle
Learn how to treat input data: distribution, outliers, null and missing values
Gain a deeper understanding in Descriptive Statistics
Master Data visualisation: Graphing etiquettes – which graphs are applicable for what type of data analysis
Gain knowledge on Descriptive Statistics, Inferential Statistics and Predictive Statistics
Understand Inferential statistics: Hypothesis testing, Normal distribution, Central LImit Theorem, Sample vs Population, Sampling, test statistics, Type I and II error
Learn and work with predictive analysis

Tools you will learn:

Pandas
Numpy functions
Statistics
Matplotlib
Seaborn
Python
plotly
dash
Matplotlib
Data Visualisation

Extra Module and Benefits:

1. AI Fundamentals and Applications:

Unlock exclusive access to one of our AI modules Learn from our experts leveraging AI to enhance your productivity and understand the wide variety of applications of AI across industries

2. Career Guidance

Understand how to effectively search for a job, find startups, craft a compelling CV and Cover Letter, types of job platforms and many more!

Trainers:

Dr. Chetana Didugu – Germany

Dr. Chetana Didugu is an Experienced Data Scientist, Product Expert, and PhD graduate from IIM Ahmedabad. She has worked 10+ years in various top companies in the world like Amazon, FLIX, Zalando, HCL, etc in topics like Data Analysis and Visualisation, Business Analysis, Product Management, Product Analytics & Data Science. She has trained more than 100 students in this domain till date.

Aravinth Palaniswamy – Germany

Founder of 2 startups in Germany and India, Technology Consultant, and Chief Product Officer of Moyyn, and has 10+ years of experience in Venture Building, Product and Growth Marketing.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction workshop

Lecture 2: Introduction to Data Analysis

Lecture 3: Descriptive statistics

Lecture 4: Deep dive

Lecture 5: Predictive analytics

Chapter 2: Introductiont to AI

Lecture 1: AI fundamentals

Lecture 2: AI applications (Generic)

Chapter 3: Career Guidance

Lecture 1: How to search for jobs effectively?

Lecture 2: How to write a complelling CV and Cover Letter?

Chapter 4: Bonus

Lecture 1: Bonus

Instructors

GATE by Moyyn
Training talent on next-generation skills

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5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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