Data analytics is the method of investigating data and draw interpretations about the details that they store. Our Data Analytics course focusses on the topics such as types of Data Analytics, Statistical Analysis, Excel, SQL, Tableau, Power BI, etc. You will be able to begin your career in the interesting domains such as data scientist, data analyst, data engineer, data mining engineer, data architect.
No, it is not necessary to have experience in coding for doing our data science course. We focus on the fundamentals of python in the initial stages of our course. We also have lots of content on our website for the same.
You will receive a certification of internship completion from Edu-station, *Letter of recommendation from mentors [ This will be awarded by the mentors based on the performance during the project] after completing the course.
Yes, all the reference materials including PDFs, eBooks, and Case studies, will be provided to the students. In addition, Counselling sessions, and doubt sessions will also be given to all the students.
Yes, we provide a variety of payment options to the students including one-time payment, EMI options, etc.
A large variety of initial career opportunities are available after completing our data science course such as data analyst, data scientist, data engineer, and business intelligence.
Requirements
- Students should be committed to working hard and completing all the necessary work/assignments given. As there is no magic pill and learning data science is a process.
- Students should be open to learning new things.
- Students should be consistent as at least 80% attendance and submitting all the projects before the deadline is mandatory for completing the course. [*In case of unavoidable circumstances, exceptions will be allowed after the operations team has verified everything.]
Features
- Learn the basics of python language such as data types, error handling, and data structures.
- Learn the important python libraries for the data science such as NUMPY, and PANDAS that are used for the analyses and interpretation of data.
- Learn the core concepts of mathematics and ML such as probability distribution, hypothesis testing, vector and matrix algebra.
- Work on interesting data science projects, and build your career.
- Learn data science from experienced mentors working in top firms such as Microsoft, IBM, and TCS.
- Get lifetime access to all the materials and mentor guidance.
- Work on real-time projects (major and minor projects). Learn the application of the core concepts and become industry ready.
Target audiences
- Anyone looking to kickstart their career in the data science domain.
- Any undergraduate students looking to get first-hand experience with data science.
- Experienced people that are looking to shift from their current specific domains to data science.
