How To Build a Career in Data Analytics and Data Science
Created by Uplatz Training | Last updated 2/2021
Duration: 1h 39m | 3 sections | 5 lectures | Video: 1280x720, 44 KHz | 545 MB
Genre: eLearning | Language: English + Sub
How to become a Data Analyst or Data Scientist in 2021? Methods, Tools, Techniques used in Data Science & Data Analysis.
What you'll learn
Overview of Data Analysis
Overview of Data Science
How to become a Data Analyst
How to become a Data Scientist
Career prospects in Data Science, Data Engineering, Data Analytics
Tools, Technologies, Software used in Data Science & Analytics
Latest Trends, Methods, Techniques used in Data Science and Data Analysis
Requirements
Enthusiasm and determination to make your mark on the world!
Description
This short course by Uplatz talks about the Career Prospects as a Data Analyst / Data Scientist and How to become a data analyst and/or data scientist.
The course also explains the ways how you can enter the world of data science, what are the pre-requisites, and how you can grasp the concepts of data science to become a successful Data;Scientist or Machine Learning Engineer. Similarly, you will learn how to make your mark in roles associated with data analysis as well as where to start if you wish to become a top Data Analyst or Consultant.
This career development course covers the important topics associated with data analysis and data science including the methods, tools, technologies, software used in analytics, data science, machine learning, AI, and related areas. Also, you will be able to understand how you can master these technologies to pursue a flourishing career in technology and data.
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Career Opportunities as Data Analyst
A data analyst derives trends and results by analyzing data on sales numbers, market research, business performance, and so on. They bring technical expertise to ensure the quality and accuracy of that data, then process, design and present it in ways to help people, businesses, and organizations make better decisions. A data analyst supports the provision of reporting, research and insight to influence business decision making across the group through its use of data.
Data analysts are in high demand across all sectors, such as banking & finance, retail, consulting, utilities, manufacturing, pharmaceuticals, commerce, transport, textiles, agriculture, travel, education, and the like.
The essential skills required for data analysts are the ability to pay attention to detail, communicate well and be highly organized. They not only need to understand the data, but be able to provide insight and analysis through clear visual, written and verbal communication.
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Career Opportunities as Data Scientist
A data scientist is an analytical expert who deploys their technology & statistics skills to determine trends & patterns from data and provide predictions required for critical decision-making. They use industry knowledge, contextual understanding & technology to uncover solutions to business challenges.
In other words, a data scientist is a high-ranking professional with the training and curiosity to make discoveries in the world of big data. Data scientists crunch data and numbers to find ingenious solutions to problems and help organizations to climb the growth ladder.
Data scientists are massive data processors, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.
Data Scientist is the most popular job across the globe as in 2021 and is going to be at the top of the demand for many years to come. A career in data science is highly lucrative with salary packages and perks unparalleled compared to other jobs in tech or non-tech industries.
Who this course is for:Anyone aspiring to become Data Analyst / Data ConsultantAnyone aspiring to become Data Scientist / Machine Learning EngineerData Analysts, Consultants, ScientistsIT, Analytics, Technology Career AspirantsFreshers, College, Undergrad / Post-grad studentsCandidates who wish to enter the Data Science, Machine Learning worldBusiness Intelligence & Analytics ProfessionalsAnyone wishing to expand their knowledge in Data & Cutting-edge Technologies
