Database Management with SQL
Learn database management with sql step-by-step through structured lessons, practical exercises, and expert insights tailored to technology courses.
Created by Sanjay Gupta, Analytics Manager
What you'll learn
- Analysing datasets
- Writing SQL
- Building dashboards
- Turning data into recommendations
- Understand communicating insights to stakeholders
- Understand building data pipelines
Course curriculum
12 modules · 107 lessons · 2,100 minPlanned outline shown above (sample metadata). The detailed module and lesson list for this course hasn't been published yet.
Description
Learn database management with sql step-by-step through structured lessons, practical exercises, and expert insights tailored to technology courses.
What this course covers: Database Management with SQL works through communicating insights to stakeholders, building data pipelines, exploratory data analysis and Python or R for analysis.
Skills you will build: building dashboards, turning data into recommendations and writing SQL.
Practical applications: business reporting and KPIs, forecasting and trend analysis and data-driven product and marketing decisions.
Who should take this course: aspiring analysts, working professionals and students who want to work confidently with data. It is designed for learners with solid experience in data analytics who want advanced, in-depth practice.
Learning outcomes: by the end of the course you should be able to apply communicating insights to stakeholders and building dashboards to your own work or projects, and know which areas to practise next.
Language: this course is taught in Hindi.
Requirements
- Solid working knowledge of data analytics
- Comfort with intermediate concepts
- A computer with internet access
Your instructor
Sanjay Gupta
Analytics Manager · 13+ years of experience
Sanjay Gupta is a analytics manager with 13+ years of experience in data analytics. Sanjay teaches data cleaning and preparation and exploratory data analysis with practical, step-by-step examples.
Reviews
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K
Kabir J. 4.0/5 Sample review
Well organised. Revisiting the Python or R for analysis part a second time really helped it click. The end-to-end case study tied cleaning, analysis and presentation together nicely.
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S
Sameer F. 3.5/5 Sample review
The section on building data pipelines was explained step by step, and the examples made exploratory data analysis much easier to follow. The SQL practice sets were tough in a good way.
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Y
Yash B. 4.0/5 Sample review
Clear structure from communicating insights to stakeholders through to building data pipelines. I'd like a few more practice tasks, but overall very useful. Finally understood which chart to use when — my reports look far more professional.
Sample reviews are illustrative demo content, not verified purchases. Ratings from learners will appear here once submitted.