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What you would learn in Data Analysis for Entry Level Job - Zero to Hero Skill Path course?
This is the way to a successful career in data analytics. In this course, you'll acquire the most sought-after skills that will make you job-ready within one month. There is no degree or knowledge is required.
When you have completed this course, you'll be able to apply to work in the following occupations:
Junior Data Analyst Associate Data Analyst Financial Analyst, Junior Data Scientist Operations Technician, Data Analyst Market Analyst and Business Analyst Healthcare Analyst
You'll receive expert training that can kick off your career. There are 380,000 U.S. job openings in data analytics and a $74,000 median salary for entry-level positions. About 2 lakh job openings are posted on LinkedIn, the site itself.
It is not a one-time course, but it is a set of over six courses that have been carefully planned to help you go from being a novice into an experienced one. You'll acquire the skills to be competitive and prepare for entry-level jobs.
What is data analysis?
Data analytics involves gathering, transforming, and arranging data to make conclusions, make predictions and inform decisions.
Skills you'll learn:
Microsoft Excel: Microsoft Excel is a spreadsheet program used to store and analyze statistical and numerical data. Microsoft Excel provides multiple features for various tasks, such as calculation, pivot tables, macro programming, graph tools, and more.
PostgresqlPostgreSQL al, known under Postgres, is a no-cost and free-of-cost relational management database system that emphasizes flexibility and SQL conformance.
Python programming language Python is a highly well-known universal-purpose language for programming. It is utilized in machine learning, desktop applications, web development, and many other fields.
Pandas as well as Numpy libraries: Pandas is a Python library. It's a fast, efficient, versatile, flexible, and user-friendly open-source tool built on the Python programming language for data analysis and manipulation. ( We'll learn more about libraries in our course)
NumPy has also been described as a Python library. With the aid of the NumPy library, you can construct or manipulate multiple-dimensional arrays and matrices. We can also use a vast array of high-level mathematical functions to work with these arrays.
Seaborn library designed for data visualization: Seaborn is also a python-based library built on matplotlib that is closely linked to pandas data structures within Python. Visualization is the core feature of Seaborn that aids in analyzing and exploring data. Visualizing data allows us to quickly communicate our findings to other people, like telling stories.
After you have completed this course, you'll be proficient with all of these tools. This course will not only learn how to utilize these tools but also how and when to utilize their tools. Once you have completed this course, you will think like a professional data analyst.
Microsoft Excel - Beginner to Advanced
Python Programming language - Beginner to advanced
PostgreSQL from Beginner to Advanced
Pandas and Numpy Pandas and Numpy - Beginning to advanced
Data Visualization with Python Beginning to advanced
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