How Can You Secure Your First Job As A Data Analyst

No Doubt, Data Analyst is one of the best jobs right now for freshers. And Why is that?

  • No Coding Background needed
  • No Computer Science Background needed
  • Freshers are Welcome
  • Growth is unstoppable and PayScale is High.

To know how you can secure your job as a data analyst, I must tell you what you would be doing as one.

“Data Analysts Make sense of the Data”.

A data analyst collects, cleans, and interprets data sets to answer a question or solve a problem. They can work in many industries, including finance, business, criminal justice, science, medicine, and government.

Everyone wants a data analyst. So there is demand. Whether you work in any industry, Data is generated everywhere and Analysts are needed everywhere.

But What do you need to get your first job as a Data Analyst?

“You Need Specific Skillset and

Hands – On Experience”

Learning data analysis without a guiding mentor is tough. There is no structured learning on Youtube as well(believe me, I have wasted a lot of time there) and you will mostly be running around circles.

But if somehow, you have required data analyst skills and some hands-on experience on some real-life data science projects, Companies are open to hiring you.

Let me introduce you to the course by our Data analysts that is exactly designed and aimed to secure your first job as a Data analyst.

Programming Language – Python

The first thing that you need to learn is a programming language, Rest of your skills revolve around this. A programming language that you will be learning is Python. But why Python, well there are a few strong reasons for that.

Python is Super Popular Among Data Scientists

Python is the most used programming language among Data Scientists. There are a few other programming languages like R, Java, SQL. But Nothing beats python. Data Scientists all around the world are using python and you should learn as soon as possible.

Python is Super Easy To learn

Let’s say if you are learning your first language, it should be python. You will need at least a year to learn and get hang of the concepts of C, C++, or Java. But you will need a month only to get hang of the concepts of python. It’s that easy.

Python offers simple syntaxes and wide resources of functions that does the work for you.

Python offers Libraries like no other Programming Language

Let’s say libraries makes data analysts’ life easier. Libraries are already written pieces of code that you use so that you don’t have to write them from scratch. There are many libraries for Data analysts that we will cover in this blog.

Libraries Used For Data analysis (Numpy , Pandas , Matplotlib , Seaborn)

After learning Python, You are ready to analyze the data with the help of libraries. Libraries that are mentioned above are used for two uses.

To analyse the Data

To analyze the data, You should learn NumPy and Pandas.

Numpy is the fundamental package for scientific computing with python. When you need to perform calculations like average salary, sports scores, sensor measurements. You need to use NumPy. Numpy stands for numerical python.

Pandas is a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation tool, built on top of the Python programming language.

To Visualise the data (Data Visualisation)

The human brain is designed to understand graphs and images more than texts. Once you have processed and analyzed the raw data, Visualisation comes next to understand information better.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

These are the skills you must learn to ace a data analyst interview. There are multiple designations and massive job openings in the Data Science field.

You can become a data analyst with our structured learning approach. Our students are placed in top companies like American Express, Cognizant, Accenture, IBM, Celebal Technologies.

data analyst

You can connect to us through our ConsoleFlare . We will be happy to solve your queries and guide you through out the course.

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