How To Build a Career in Data Analytics and Data Science
How To Build a Career in Data Analytics and Data Science, available at Free, has an average rating of 4.27, with 5 lectures, based on 116 reviews, and has 4625 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone aspiring to become Data Analyst / Data Consultant or Anyone aspiring to become Data Scientist / Machine Learning Engineer or Data Analysts, Consultants, Scientists or IT, Analytics, Technology Career Aspirants or Freshers, College, Undergrad / Post-grad students or Candidates who wish to enter the Data Science, Machine Learning world or Business Intelligence & Analytics Professionals or Anyone wishing to expand their knowledge in Data & Cutting-edge Technologies It is particularly useful for Anyone aspiring to become Data Analyst / Data Consultant or Anyone aspiring to become Data Scientist / Machine Learning Engineer or Data Analysts, Consultants, Scientists or IT, Analytics, Technology Career Aspirants or Freshers, College, Undergrad / Post-grad students or Candidates who wish to enter the Data Science, Machine Learning world or Business Intelligence & Analytics Professionals or Anyone wishing to expand their knowledge in Data & Cutting-edge Technologies.
Enroll now: How To Build a Career in Data Analytics and Data Science
Summary
Title: How To Build a Career in Data Analytics and Data Science
Price: Free
Average Rating: 4.27
Number of Lectures: 5
Number of Published Lectures: 5
Number of Curriculum Items: 5
Number of Published Curriculum Objects: 5
Original Price: Free
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
A warm welcome to the How To Build a Career in Data Analytics and Data Science course by Uplatz.
This short course by Uplatztalks 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.
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.
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.
Course Curriculum
Chapter 1: How to become a Data Analyst in 2021
Lecture 1: How to become a Data Analyst in 2021
Chapter 2: What is Data Analysis – Methods, Techniques, Tools
Lecture 1: What is Data Analysis – Methods, Techniques, Tools – part 1
Lecture 2: What is Data Analysis – Methods, Techniques, Tools – part 2
Chapter 3: How to learn Data Science in 2021
Lecture 1: How to learn Data Science in 2021 – part 1
Lecture 2: How to learn Data Science in 2021 – part 2
Instructors
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Uplatz Training
Fastest growing global Technology & Cloud Training Provider
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 5 votes
- 3 stars: 18 votes
- 4 stars: 48 votes
- 5 stars: 40 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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