How To Build a Career in Data Analytics and Data Science

How To Build a Career in Data Analytics and Data Science. How to Become a Data Analyst or Data Scientist in 2021? Methods, Tools, Techniques used in Data Science & Data Analysis.

  • 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

How To Build a Career in Data Analytics and Data Science Course Requirements

  • Enthusiasm and determination to make your mark on the world!

How To Build a Career in Data Analytics and Data Science Course Description

A warm welcome to Uplatz’s “How to Build a Career in Data Analytics and Data Science” course.

This short course from Uplatz talks about 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 you can enter the world of data science, what the prerequisites are, and how you can understand data science concepts to become a successful data scientist or machine learning engineer. Similarly, she will learn how to make her mark on the roles associated with data analytics, as well as where to start if you want to become a top-tier data analyst or consultant.

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This professional development course covers the important topics associated with data analysis and data science, including methods, tools, technologies, software used in analytics, data science, machine learning, artificial intelligence, and related areas. In addition, you will be able to understand how you can master these technologies to pursue a flourishing career in technology and data.

Career opportunities as a data analyst

A data analyst derives trends and results by analyzing data on sales numbers, market research, business performance, etc. They bring technical expertise to ensure the quality and accuracy of that data, then process, design, and present it in ways that help people, businesses, and organizations make better decisions. A data analyst supports the provision of reports, research, and insight to influence business decision-making across the group through the use of data.

Data analysts are in high demand across all sectors including banking and finance, retail, consulting, utilities, manufacturing, pharmaceuticals, commerce, transportation, 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 also be able to provide information and analysis through clear visual, written, and verbal communication.

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Career opportunities as a data scientist

A data scientist is an analytical expert who deploys his skills in technology and statistics to determine trends and patterns from data and provide the predictions necessary for critical decision-making. They use industry knowledge, contextual understanding, and technology to discover 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 process data and numbers to find ingenious solutions to problems and help organizations move up the growth ladder.

Data scientists are massive data processors who collect and analyze large sets of structured and unstructured data. The role of a data scientist combines computer science, statistics, and mathematics. They analyze, process, and model data and then interpret the results to create actionable plans for businesses and other organizations.

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Data Scientist is the most popular job around the world as of 2021 and will be at the forefront of the demand for many years to come. A career in data science is highly lucrative with salary packages and benefits unmatched compared to other jobs in tech or non-tech industries.

Who this course is for:

  • Anyone aspiring to become Data Analyst / Data Consultant
  • Anyone aspiring to become Data Scientist / Machine Learning Engineer
  • Data Analysts, Consultants, Scientists
  • IT, Analytics, Technology Career Aspirants
  • Freshers, College, Undergrad / Post-grad students
  • Candidates who wish to enter the Data Science, Machine Learning world
  • Business Intelligence & Analytics Professionals
  • Anyone wishing to expand their knowledge in Data & Cutting-edge Technologies

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