+- Softwarez.Info - Software's World! (https://softwarez.info)
+-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone)
+--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials)
+--- Thread: Become a Data Analyst - Job training (beginner to advanced) (/Thread-Become-a-Data-Analyst-Job-training-beginner-to-advanced)
Become a Data Analyst - Job training (beginner to advanced) - OneDDL - 01-10-2024
![[Image: 933409e1642a353a952595e5ff611323.jpeg]](https://i122.fastpic.org/big/2024/0111/23/933409e1642a353a952595e5ff611323.jpeg)
Free Download Become a Data Analyst - Job training (beginner to advanced)
Published 1/2024
Created by GATE by Moyyn
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lectures ( 8h 23m ) | Size: 3.33 GB
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
r. 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.Who this course is for:
Jobseekers
Aspiring Data Analysts
Entrepreneurs
Non tech candidates
Students in any domain
Career change aspirants
Homepage
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
No Password - Links are Interchangeable