- No Prerequisites
Hello and welcome to this full and comprehensive course on data analysis.
This is your path to a career in data analytics. In this program, you’ll learn in-demand skills that will have you job-ready in less than a month. No degree or experience is required.
After completing this course, you will be ready for the following job titles:
Junior Data Analyst, Associate Data Analyst, Junior Data Scientist, Finance Analyst, Operations Analyst, Data Technician, Business Performance Analyst, Marketing Analyst, Healthcare Analyst
You will get Get professional training to kick start your career. There are 380,000 U.S. job openings in data analytics with a $74,000 median entry-level salary. Around 2 lakh job openings are on LinkedIn itself.
This is not a single course but a bundle of Over 6 courses that are carefully designed to transform you from a beginner to an expert. , You will gain in-demand skills that prepare you for an entry-level job.
What is data analysis?
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.
Skills you will learn:
Microsoft Excel: Microsoft Excel is a spreadsheet program used to record and analyze numerical and statistical data. Microsoft Excel provides multiple features to perform various operations like calculations, pivot tables, graph tools, macro programming etc.
Postgresql: PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance.
Python programming language: Python is a popular general-purpose programming language. It is used in machine learning, web development, desktop applications, and many other fields.
Pandas and Numpy library: Pandas is a python library. It is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language( We will learn more about libraries inside our course)
NumPy is also a python library, With the help of NumPy library, we can create and manipulate multi-dimensional arrays and matrices, and we can use a large collection of high-level mathematical functions to operate on these arrays.
Seaborn library for Data visualization: Seaborn is also a python library built on top of matplotlib and closely integrated with pandas data structures in Python. Visualization is the central part of Seaborn, which helps in the exploration and understanding of data. With the help of data Visualization, we can quickly convey our analysis to others. It’s like storytelling.
Once you complete this course, you will be proficient in all these tools. In this course, you not only learn about how to use these tools but also why and when to use these tools. You will think like a pro data analyst after completing this course.
Learn By Practice
You will have hands-on practice through carefully designed quizzes, exercises, projects, and coding challenges to make sure you actually learning the concepts.
The projects you complete in this course can be included in your resume, and these real-world projects will help you in getting your dream job.
Because everything is covered in this course from scratch, you don’t need to have any prior knowledge of anything. You just need a computer and internet connection. So, there are no prerequisites for this course.
Incredible Doubt Support
If you face any problem or if you have any doubt, you personally message me, or you can post your doubt on the Question answer form. I will personally answer your doubt within a few hours.
So, what are you waiting for? Enroll now, and I will see you in the class.
Who this course is for:
- Entry level Job seekers for data analysis.
- Who wants to learn Python, Microsoft Excel, PostgreSQL, Numpy, Pandas, Data Visualization in Python
- Data analysts who wants to enhance there skills