Data Analyst | Data Analyst Course | Data Analytics | Data
Analytics Full Course 2022 | Simplilearn
Simplilearn
Introduction
Welcome to this full course on becoming a data analyst. In this
course, you will learn about the duties and career prospects of a data
analyst, as well as various data analytics concepts. We will cover the
top skills and tools for data analysis, and distinguish a data analyst
from other roles like business analyst and data engineer. We will also
cover data analytics with Python, Excel, R, and SQL, and conclude with
the top interview questions for data analyst positions.
What is Data Analytics?
Data analytics is the process of extracting useful insights from raw
data by studying and examining it carefully. This information can be
related to business information, market trends, product innovations,
and profit/loss reports. The process of data analytics involves
collecting data from various sources, cleaning it, and then
transforming it into something meaningful which can be interpreted by
humans. Various technologies, tools, and frameworks are used in the
analysis process. Organizations take the help of data analytics to
convert the available raw data into meaningful insights.
Who is a Data Analyst?
Introduction
Welcome to this full course on becoming a data analyst. In this course, you will learn about the
duties and career prospects of a data analyst, as well as various data analytics concepts. We
will cover the top skills and tools for data analysis, and distinguish a data analyst from other
,roles like business analyst and data engineer. We will also cover data analytics with Python,
Excel, R, and SQL, and conclude with the top interview questions for data analyst positions.
What is Data Analytics?
Data analytics is the process of extracting useful insights from raw data by studying and
examining it carefully. This information can be related to business information, market trends,
product innovations, and profit/loss reports. The process of data analytics involves collecting
data from various sources, cleaning it, and then transforming it into something meaningful
which can be interpreted by humans. Various technologies, tools, and frameworks are used in
the analysis process. Organizations take the help of data analytics to convert the available raw
data into meaningful insights.
Who is a Data Analyst?
A data analyst is a person who collects, processes, and performs analysis on large data sets.
They perform statistical analysis on various data sets every business generates and collects
data, be it marketing research, sales figures, customer feedback, logistics, or transportation
costs. A data analyst will take all of this data and figure out various measures such as how to
price new materials, reduce transportation costs, provide better customer experience, or deal
with issues that cost the company money. Data analysts also deal with data handling, data
modeling, and data reporting.
Data Analyst Skills
● Hold a degree in any relevant field such as engineering, computer science,
information technology, statistics, or economics.
● Good hands-on experience with programming languages such as R, Python, and
JavaScript.
● Good experience working with databases and data analysis tools such as writing SQL
queries and procedures, knowledge of Microsoft Excel, IBM SPSS, and Matlab.
, ● Strong understanding of statistics and machine learning algorithms, including
concepts such as hypothesis testing, probability distributions, regression analysis,
and various classification and clustering techniques.
● Ability to create different reports with the help of charts and graphs using several
data visualization tools such as Tableau and Power BI.
Data Analyst Salary
A data analyst in the United States can earn a minimum salary of $43,000 to a maximum of
$85,000 per year. In India, you can earn anywhere between INR 198,000 to INR 924,000 per
annum.
Companies Hiring Data Analysts
Companies hiring data analysts include Amazon, Microsoft, Capital One, Walmart, PayPal,
Google, Facebook, Twitter, Apple, and Bloomberg.
Learn Data Analytics with Simply Learn
If you want to become a data analyst, Simply Learn can help you achieve your goal. They offer a
Data and List Masters Program in collaboration with IBM. The program covers a range of
courses, including introduction to data analytics, business analytics with Excel, Tableau, Power
BI, programming basics and data analytics with Python, R programming, and a capstone project.
After completing the program, you will receive a certificate with your name along with IBM and
Simply Learn logos.
The program covers various tools, such as Excel, NumPy, Panda, Scipy, IBM Watson, Power BI,
Tableau, Python, and R. The course advisor for the program is Ronald Van Glun. The program
also offers several electives, including data science in real life, programming refresher, industry
master class, data analytics, and SQL training.
, Why Data Analytics is Important?
Data generation has increased rapidly over the years with the rapid rise in technologies and the
increase in social media platforms and multinational companies worldwide. According to IDC,
the total volume of data is expected to reach 175 zettabytes in 2025. Companies generate loads
of data daily, including business information, customer data, customer feedback, product
innovations, sales reports, and profit loss reports. Organizations use this data to make crucial
decisions that can either hamper or boost their businesses. Data analytics helps convert the
available raw data into meaningful insights.
Data analytics is the process of collecting data from various sources, cleaning it by removing
irrelevant information, and transforming it into meaningful information that can be interpreted
by humans. It includes using various technologies, tools, and frameworks to analyze data. The
data analytics domain holds paramount importance in every sector as companies want to
leverage all the generated big data and boost their businesses.
Job Roles in Data Analytics
The data analytics domain has six primary job roles: data analyst, business analyst, data
scientist, data engineer, BI analyst, and data architect. Each job role has its responsibilities,
required skills, average salary, and companies hiring for that role.
Data Analyst
A data analyst collects, processes, and performs statistical analysis of large data sets. They
work with data handling, data modeling, and reporting. They collaborate with different team
members, such as programmers, business analysts, engineers, and data scientists, to identify
opportunities for solving business problems. They write complex SQL queries, scripts, and store
procedures to gather and extract information from multiple databases. They filter and clean
data using different modern tools and techniques and make it ready for analysis. They identify,
Analytics Full Course 2022 | Simplilearn
Simplilearn
Introduction
Welcome to this full course on becoming a data analyst. In this
course, you will learn about the duties and career prospects of a data
analyst, as well as various data analytics concepts. We will cover the
top skills and tools for data analysis, and distinguish a data analyst
from other roles like business analyst and data engineer. We will also
cover data analytics with Python, Excel, R, and SQL, and conclude with
the top interview questions for data analyst positions.
What is Data Analytics?
Data analytics is the process of extracting useful insights from raw
data by studying and examining it carefully. This information can be
related to business information, market trends, product innovations,
and profit/loss reports. The process of data analytics involves
collecting data from various sources, cleaning it, and then
transforming it into something meaningful which can be interpreted by
humans. Various technologies, tools, and frameworks are used in the
analysis process. Organizations take the help of data analytics to
convert the available raw data into meaningful insights.
Who is a Data Analyst?
Introduction
Welcome to this full course on becoming a data analyst. In this course, you will learn about the
duties and career prospects of a data analyst, as well as various data analytics concepts. We
will cover the top skills and tools for data analysis, and distinguish a data analyst from other
,roles like business analyst and data engineer. We will also cover data analytics with Python,
Excel, R, and SQL, and conclude with the top interview questions for data analyst positions.
What is Data Analytics?
Data analytics is the process of extracting useful insights from raw data by studying and
examining it carefully. This information can be related to business information, market trends,
product innovations, and profit/loss reports. The process of data analytics involves collecting
data from various sources, cleaning it, and then transforming it into something meaningful
which can be interpreted by humans. Various technologies, tools, and frameworks are used in
the analysis process. Organizations take the help of data analytics to convert the available raw
data into meaningful insights.
Who is a Data Analyst?
A data analyst is a person who collects, processes, and performs analysis on large data sets.
They perform statistical analysis on various data sets every business generates and collects
data, be it marketing research, sales figures, customer feedback, logistics, or transportation
costs. A data analyst will take all of this data and figure out various measures such as how to
price new materials, reduce transportation costs, provide better customer experience, or deal
with issues that cost the company money. Data analysts also deal with data handling, data
modeling, and data reporting.
Data Analyst Skills
● Hold a degree in any relevant field such as engineering, computer science,
information technology, statistics, or economics.
● Good hands-on experience with programming languages such as R, Python, and
JavaScript.
● Good experience working with databases and data analysis tools such as writing SQL
queries and procedures, knowledge of Microsoft Excel, IBM SPSS, and Matlab.
, ● Strong understanding of statistics and machine learning algorithms, including
concepts such as hypothesis testing, probability distributions, regression analysis,
and various classification and clustering techniques.
● Ability to create different reports with the help of charts and graphs using several
data visualization tools such as Tableau and Power BI.
Data Analyst Salary
A data analyst in the United States can earn a minimum salary of $43,000 to a maximum of
$85,000 per year. In India, you can earn anywhere between INR 198,000 to INR 924,000 per
annum.
Companies Hiring Data Analysts
Companies hiring data analysts include Amazon, Microsoft, Capital One, Walmart, PayPal,
Google, Facebook, Twitter, Apple, and Bloomberg.
Learn Data Analytics with Simply Learn
If you want to become a data analyst, Simply Learn can help you achieve your goal. They offer a
Data and List Masters Program in collaboration with IBM. The program covers a range of
courses, including introduction to data analytics, business analytics with Excel, Tableau, Power
BI, programming basics and data analytics with Python, R programming, and a capstone project.
After completing the program, you will receive a certificate with your name along with IBM and
Simply Learn logos.
The program covers various tools, such as Excel, NumPy, Panda, Scipy, IBM Watson, Power BI,
Tableau, Python, and R. The course advisor for the program is Ronald Van Glun. The program
also offers several electives, including data science in real life, programming refresher, industry
master class, data analytics, and SQL training.
, Why Data Analytics is Important?
Data generation has increased rapidly over the years with the rapid rise in technologies and the
increase in social media platforms and multinational companies worldwide. According to IDC,
the total volume of data is expected to reach 175 zettabytes in 2025. Companies generate loads
of data daily, including business information, customer data, customer feedback, product
innovations, sales reports, and profit loss reports. Organizations use this data to make crucial
decisions that can either hamper or boost their businesses. Data analytics helps convert the
available raw data into meaningful insights.
Data analytics is the process of collecting data from various sources, cleaning it by removing
irrelevant information, and transforming it into meaningful information that can be interpreted
by humans. It includes using various technologies, tools, and frameworks to analyze data. The
data analytics domain holds paramount importance in every sector as companies want to
leverage all the generated big data and boost their businesses.
Job Roles in Data Analytics
The data analytics domain has six primary job roles: data analyst, business analyst, data
scientist, data engineer, BI analyst, and data architect. Each job role has its responsibilities,
required skills, average salary, and companies hiring for that role.
Data Analyst
A data analyst collects, processes, and performs statistical analysis of large data sets. They
work with data handling, data modeling, and reporting. They collaborate with different team
members, such as programmers, business analysts, engineers, and data scientists, to identify
opportunities for solving business problems. They write complex SQL queries, scripts, and store
procedures to gather and extract information from multiple databases. They filter and clean
data using different modern tools and techniques and make it ready for analysis. They identify,
