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Level

Beginners

Language

Urdu

Duration

2hr 27min

Certificate

Available

About this Course

Most of us have probably heard or even experienced how data findings lead to more accurate results, but who finds this information and predicts the results? Data analyst experts. Year by year, companies around the world are depending on experts as such to help them make more effective, cost-saving decisions. Demand for well-skilled data analysts is through the roof and projected to rise in the new few years. πŸ’Έ Maaz Imran, who is the Head of Data Analytics and BI @ HelloFreshGO, will help set up your foundation for a successful career path in the field. Simply put, data analytics involves the inspection, cleansing, transformation and modeling of data with the goal of discovering useful information and conclusions to support strategic business decisions. This course can become your gateway to the highly in-demand, money-making field of Data Analytics.

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Browse Lesson Plans

This introductory session will walk you through an explanation of data analysis and the types that surround it. He, using his experience and insight into the world of data analytics, will describe all the responsibilities involved in becoming a data analyst and what kind of skill sets can lead to a smashing job. πŸ”₯

  • 1.1: A career in Data Analytics 5min 23sec
  • 1.2: Structure of the Data Ecosystem 12min 0sec
  • 1.3: Key Players of the Data Ecosystem 10min 14sec

The second module will be an in-depth study of data science, covering the following: Relational and non-relational database management systems Data structures, file formats, and sources of data Use of different languages used by data professionals around the world Data Warehouses, Data Marts, Data Lakes, and Data Pipelines Extract, Transform, and Load process for raw data analysis Big Data and Big Data processing tools

  • 2.1: Types of Data 5min 3sec
  • 2.2: File Formats 5min 20sec
  • 2.3: Sources of Data 6min 37sec
  • 2.4: Languages for Data Professionals 6min 42sec

Maaz will walk you through his tried and tested steps to identify, gather, and import data from disparate sources. Moreover, he will talk about all the tools and techniques required for wrangling and data cleansing to make data analysis ready. πŸ’ͺ

  • 3.1: Identifying Data for Analysis 5min 56sec
  • 3.2: Data Sources 4min 29sec
  • 3.3: How to Gather & Import Data 4min 17sec
  • 3.4: Data Wrangling 8min 8sec
  • 3.5: Data Wrangling Tools 3min 16sec
  • 3.6: Data Cleaning 6min 36sec

In this session, statistical tools and techniques will be explored, along with an intensive look into how you can best present your data and tell a story. The following will be covered: Tools for mining and analyzing data to understand the patterns, trends, and correlations that exist in the data Best kinds of visualization for data + possibilities offered by some of the most popular data visualization and dashboarding tools How to tell a compelling and convincing story with your data

  • 4.1: Statistical Analysis 9min 38sec
  • 4.2: Data Mining 10min 47sec
  • 4.3: Tools for Data Mining 4min 25sec
  • 4.4: Communicating your Findings 6min 41sec
  • 4.5: Data Visualization 5min 20sec
  • 4.6: Tools for Data Visualization 8min 35sec

In the last session of the course, Maaz will talk from personal experience as well as market insights about the different career opportunities available in data analysis. Furthermore, he will present the many learning paths that stem from getting skilled as a data analyst. 🀩

  • 5.1: Career Opportunities in Data Analytics 8min 53sec
  • 5.2: Paths to Becoming a Data Analyst 3min 56sec
  • 5.3: Wrap Up - Introduction to Modern Data Analytics 5min 31sec
πŸ”₯πŸ”₯πŸ”₯ 30 enrolled on this course

About Expert

Maaz Imran

Head of Data Analytics and BI @ HelloFreshGO

Data Professional with a passion for online education, travelling and poetry

Reviews

5 stars 1 rating
  • Zaeem Khan

    05/04/2021

    Great introductory course. This course has devloped a great interest in me to learn more about Data Analytics and its different tools.

There are currently no Reviews available for this course
One time fee for the whole master course
30 enrolled on this course