There has never been a better time to learn data analysis. This will not only upgrade your value in the job industry, but will also make you grow across towards the field of data science.
Even at entry level, data analysis will boost your salary. According to IBM, the number of jobs for data professionals in the U.S will increase to 2,720,000 by 2020.
Currently, the need of data analysts is more than the available supply, and companies are willing to welcome students and professionals to fill their positions. Talking in terms of data, the following job profiles required extensive skills in the field of data analyst.
IT System analyst: A typical systems analyst in the US makes around $68,807.
Healthcare analyst: The median salary for a Healthcare Data Analyst is $61,438.
Operations analyst: Average salary of $55,981.
Business analyst: Average salary of $55,000.
Data scientist: The average data scientist salary is $113,436, according to Glassdoor.
Data engineer: median salaries being comparable to data scientists at $90,963.
Quantitative analyst: The median salary for quantitative analysts is $82,879.
Data Analytics Consultant: $78,264 is a representative salary for the role.
Digital Marketing Manager: median salary is around is $80,000.
Project Manager: A typical salary for a project manager is around $73,247.
Transportation Logistics Specialist: professionals in this industry makes around $79,000 per year.
There are endless profiles, where you can implement data analysis. Working with data is a necessary skill in every domain of professionalism. Whether you are in the field of finance, engineering, medical, marketing, and commerce or else, every professional requires to work with data, and with this, every professional, must be skilled enough to work with data and analyse them to retrieve essential information and make decisions.
This course understands the ongoing market trends. With this, this course provides the ultimate specialization package for “data analytics with python”. What this course offers?
To start from scratch! And make you gain all major skills to be a successful data analyst.
To cover all basics, necessary for data analysis.
To cover the most important skill to be a data analyst: Python!
To cover the basics and intermediate topics of python, essential for understanding the functions and libraries for data analysis.
To understand and work all major libraries of data analysis.
To understand and work on the concepts of data wrangling, data filtering, data cleaning, data transformation, shaping, combining, plotting and aggregation.
To work with practical example and understand all major functions you require to analyse data.
To combine the knowledge of python with data analysis and use the built in data structures to understand and manipulate data.
To make you understand the data. To make you understand the requirements and to make you experience, how you can use your domain to upskill your job opportunities.
To give you the necessary skills, if you want to pursue higher education the field of data science, machine learning, neural networks and statistics.
In short, to make you an ideal data analyst!
Data Analytics in India!
More than 97,000 analytics positions remain vacant in India due to the shortage of talent.
Opportunities for freshers have also increased with openings for them accounting for 21% of analytics jobs, compared to 17% last year.
Hari Krishnan Nair, Co-founder, Great Learning said:
A 45% increase in the supply gap in just one year indicates the pace at which businesses are adopting analytics and data-based decision making.
According to the report, the median salary being offered for analytics jobs in India is INR 11.5 lakhs/annum.
Around 23% of all advertised jobs last year were offering more than INR 15 Lakhs as opposed to 20% a year ago.
According to the report, demand for Python is the highest amongst all the recruiters.
Currently 45760 jobs posted in Naukri.com for data analysts in India.
Data analysts with more than 5 years of experience often earn up to 15 lakhs per annum. Senior data analysts with more than 10 years of experience could earn above 20 lakhs per annum. .
How to achieve all this? We have the answer! DIYGuru provides the ultimate specialization package with 7 best courses! Yes, you heard that right! Specialization course with 7 courses. Covering each major domain of python and data analysis, taking you right from ground zero, to the sky (with no limits!)
This course assumes that you currently holds little or no knowledge in python and data analysis. So suited best for beginners. Courses description is as well:
In this course, students will be introduced to the python programming language and the concept of data analysis. How data analysis has become one of the most important skills for students in different areas. How data analysis and Python, is useful in every domain, ranging from mathematics to physics, from computer science to electrical engineers. Every second company works with data, and so, requires, professionals, who can understand their data and can play with them! This course will bring out the understanding and motivation to start a career in data analysis using python.
Module 1: What is python and why it is so famous?
In this module, students will come to know about python, as a programming language, and how, it turned out to be one of the most important languages in the world. This module will help students to understand the language from scratch, irrespective of their past professional experience.
Module 2: What is data analysis?
Module 3: Why Python for data analysis
Course 4: Python Advanced
Course 5: Data Analysis Fundamentals (Numpy)
Course 6: Data Analysis Intermediate (Pandas)
Course 7: Visualisation using Python in Data Analytics
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