As a data analytics intern at Learning Paths (The Bag), you will have the opportunity to apply your skills in data analytics, Python, SQL, Tableau, data science, Power BI, JavaScript, and MS-Excel to real-world projects. You will work closely with our team of experienced data analysts to gather, analyze, and interpret data to drive business decisions and strategies. This is an exciting opportunity for you to gain hands-on experience in a fast-paced and dynamic environment.
We are building https://backend.understandingindia.in/, which is a portal for all things about India. We want to use data to educate people and allow them to do their own analysis.
1. Assist in collecting and cleaning data from various sources
2. Analyze data using Python, SQL, Tableau, and other tools to identify trends and patterns
3. Create data visualizations and dashboards to present findings to stakeholders
4. Collaborate with team members to develop predictive models and algorithms
5. Support in the implementation and testing of new data analytics tools and techniques
6. Contribute to the development of data-driven insights and recommendations
7. Stay up-to-date on the latest trends and technologies in data analytics and implement best practices
Skill(s) required
Data AnalyticsData ScienceJavaScriptMS-ExcelPower BIPythonSQLTableau
1. are available for full time (in-office) internship
2. can start the internship between 6th Apr'24 and 11th May'24
3. are available for duration of 6 months
4. have relevant skills and interests
Other requirements
1. The candidate should be able to work full-time.
2. The candidate should love data and visualizations.
3. The candidate should have some experience in this domain before.
Perks
Certificate Letter of recommendation Informal dress code 5 days a week
Number of openings
1
About Learning Paths (The Bag)
The Bag is the registered entity for learning paths. We are an outsourced product development company. At the core of it all, we are product guys, toolmakers, and quick learners who love problem-solving at scale.
We are a startup ourselves and we are building our in-house products. So we pick up projects where we feel that we can create value and the partners can add value to us. We believe in creating value first before capturing it.
