Master These Top Data Analyst Skills For a Successful Career
The role of data analyst has become indispensable in today's world. Organisations are heavily relying on decisions that are data-driven. This in turn fuels the demand for data analysts in the current job market. The initial step to build a successful career in data analysis, is to develop key skills required to become a data analyst. In this article we explore the most important data analyst skills in detail.
Who Is A Data Analyst ?
A Data analyst is a skilled professional who interprets data sets by analysing and identifying the trends, patterns and correlations. They are responsible for deriving data driven conclusions for organisations to optimise their business. Data analysts transform raw data into applicable information to help the organisation make an informed decision.
Role of a Data Analyst:
Database Management
Data Cleaning
Data Analysis
Data Extraction
Data Visualisation
Top Skills For A Data Analyst
Data analysis is one of the most desired and sought-after careers today. Knowledge and expertise in certain skills are required to become a data analyst. Lets discuss important skills needed for a data analyst to thrive in this field.
1. SQL
SQL or Structured Query Language is a domain specific language that is used to communicate with the database. It is one of the most important skills required to become a data analyst, as many of the interviews for data analyst roles include a technical SQL interview round.
Key Aspects:
Relational database
Query and Sub-query
Joins
Clauses/Operators
Aggregate functions
Query Optimization
Triggers
2. Data Visualization
Data visualization involves presenting data in a visually appealing manner. Data analysts should be able to transform data into understandable and interesting charts, graphs and dashboards. This is one of the most in demand data analyst skills required to land a higher paying job role. To excel in the field of data analysis, it is recommended to learn tools such as:
Power BI
Excel
Tableau
3.Programming Languages
Understanding of Programming languages is an important data analyst skill. Programming languages are an important factor for data analysis to optimally manipulate and analyse data. One of the most common and widely used programming languages is Python.
Key Aspects
Fundamentals of Python include:
Lists and Dictionaries
loops and Modules
functions
Variables and Data Types
Other Programming Languages:
R- Used for statistical analysis, data visualization and machine learning
SAS- Used to perform complex statistical analysis
4 Statistics
Statistics is an essential part of data analysis. This is one of the fundamental skills needed for data analyst to understand and carry out their responsibilities effectively. It is important for freshers to have a significant grasp of statistical methods such as,
Descriptive statistics
Probability Theory
Correlation and regression
5.Excel
Excel is an important tool for data analysis that helps in manipulating, analysing and visualising data. Excel proficiency is one among the top skills for data analysts that can help you land in a position that pays you well.
Key Aspects:
Pivot Tables
Conditional Formatting
Filters
VLOOKUP
Chart
Data validation
Macros
6. Machine Learning
Machine Learning involves enabling computers and machines to mimic the way humans think without specifically programming. Machine Learning is used to derive patterns in large data sets and is used for advanced analysis. While not strictly mandatory, machine learning is one of the valuable data analysis skills required for success.
Key Aspects
Supervised learning
Unsupervised learning
Neural networks and deep learning
Common Machine Learning Algorithms:
Decision tree
Linear regression
Logistic regression
Support Vector Machine, and more
The demand for data analysts is on the rise. If you are thinking about pursuing a career in data analysis, developing top skills for data analysts like SQL, Programming, Excel and Statistical Analysis will be highly rewarding.
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Frequently Asked Questions (FAQs)
Yes, It is high in demand and comes with great benefits and a higher salary even at the entry-level.
In India, a data analyst with experience ranging from 0 to 6 years can earn between Rs. 1.8 Lakh - Rs. 12.4 Lakhs per annum. This can vary according to the experience, qualification, and location of the organization.
(Salary Source: Ambitionbox)
Data analysts analyze existing data and gather insights while data scientists develop advanced models to predict trends.
Typically a bachelor's degree in data science , statistics, mathematics, or computer science is required to become a data analyst.
Coding skills are not always mandatory in data analysis but can be beneficial in this field.
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Questions related to
Yes. No doubt it will be beneficial. It is only going to open doors for you when you move towards getting a job. The certificate of data analytics will make your resume more complete.
Combination of BBA and data analytics is always good and does help in the future. With the help of certificate in data analytics, you can get into business analytics if you have great analytical skills.
Hello aspirant,
Hope you are doing well
Both the courses you mentioned are equally good .
The job roles offered for both the courses are pretty good.
Firstly it is important to know the course in which you are interested and then take up that .
Hope this helps you
All the best!
BSc Data Science is a 3 year full-time course that comes under the domains of Computer Science, Business Analytics and Artificial Intelligence.
Data Science is an interdisciplinary subject that includes the use of Statistics , Big Data Analytics , Machine Learning and related aspects in order to understand the problem or phenomena with respect to a set of real-world data.
This course is highly popular among students in India and Abroad because of its increasingly high demand and diverse future scope in tech companies, consultancies, market research companies and energy sector.
Admission to this course usually takes place on the basis of merit and performance in the university level Common Entrance Tests. The minimum eligibility required is the completion of Class 12 with Science stream (Physics, Chemistry, Mathematics).
IT is a particular subject with data science.
Thanks!
So you can have a rough idea about the two courses but which one is better is something only you can decide as you will know better which subject interests you more.
Hello Apu sarkar, Both the Universities are best for bsc and infastructure is also good but facilities are more in TIU like sports campus, wifi campus, and many more and they all are not in MAKAUT and placement is also good at TIU. So I personally preferred you to go for TIU.
Hope it will be helpful for you :)