Become A Data Analyst - Job Training (Beginner To Advanced)

For jobseekers and career change aspirants - including AI and Career Guidance Modules - Learn from Industry Leaders

What you'll 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

Requirements

No previous knowledge required! Suitable for candidates from any domain.

Description

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 TRAINING and 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 kaggleLearn how to treat input data: distribution, outliers, null and missing valuesGain a deeper understanding in Descriptive StatisticsMaster Data visualisation: Graphing etiquettes – which graphs are applicable for what type of data analysisGain knowledge on Descriptive Statistics, Inferential Statistics and Predictive StatisticsUnderstand Inferential statistics: Hypothesis testing, Normal distribution, Central LImit Theorem, Sample vs Population, Sampling, test statistics, Type I and II errorLearn and work with predictive analysisTools you will learn: PandasNumpy functionsStatistics MatplotlibSeabornPythonplotlydashMatplotlibData VisualisationExtra 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 industries2. Career GuidanceUnderstand 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 - GermanyDr. 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 - GermanyFounder 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.

Overview

Section 1: Introduction

Lecture 1 Introduction workshop

Lecture 2 Introduction to Data Analysis

Lecture 3 Descriptive statistics

Lecture 4 Deep dive

Lecture 5 Predictive analytics

Section 2: Introductiont to AI

Lecture 6 AI fundamentals

Lecture 7 AI applications (Generic)

Section 3: Career Guidance

Lecture 8 How to search for jobs effectively?

Lecture 9 How to write a complelling CV and Cover Letter?

Lecture 10 Job referrals

Section 4: Work on hands-on projects from startups and gain experience

Lecture 11 GATE bootcamps

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