Our Course
Master the fundamentals of SQL for efficient querying and manipulation of databases, enabling you to extract and manipulate data effectively.
Learn Python programming for data processing tasks, including data cleansing, transformation, and analysis, leveraging Python libraries such as Pandas and NumPy.
Acquire techniques for data analysis, including statistical analysis, data visualization, and exploratory data analysis (EDA), to derive valuable insights from raw data.
Understand how to interact with databases using SQL and Python, including data retrieval, insertion, updating, and deletion, to effectively manage and manipulate data stored in relational databases.
Apply your SQL and Python skills to real-world scenarios and projects, gaining hands-on experience in querying, processing, and analyzing data to solve complex problems and make informed decisions.
Testimonials
The intensive career support played a crucial role in facilitating the transition. Although the journey was challenging, the course bridged the gap between my non-technical background and the dynamic realm of data analytics, paving the way effectively.
Working on real life projects helped me develop a problem solving mindset. It also aided me in successfully navigating difficult data analytics interviews. I highly recommend this course to anyone seeking to launch their career in data analytics.
My experience with TechSense is absolutely fantastic. The faculty is highy skilled with phenomenal industry experience which is displayed in every learning aspect. If you follow what the faculty says and practice, then it can become a breakthrough in your career. The assignments and case studies are really well crafted and will help you in your interview process. I was from a Non-Analytics background but thanks to Techsense, i am part of the Analytics industry now.
Opting for the Business Analytics course marked a transformative milestone in my career journey. Distinguished by its real-world projects and expert guidance, this course truly stands out. I am grateful for the career opportunities it has unlocked for me and wholeheartedly recommend it to aspiring data professionals.
