Our curriculum covers everything you need to get become a skilled software engineer & get placed at top tech companies. Problem-solving in DS & Algo, CS Fundamentals, System Design, and Full Stack Specialization is covered in a comprehensive manner.
BI Data Analysts use Python and SQL to query, analyze, and visualize data — and Tableau and Excel to communicate findings. Includes Python 3, SQL, pandas, Matplotlib, Tableau, Excel, and more. BI Data Analysts use data to deliver business insights and are in high demand in every industry. This Career Path covers the basics you will need to earn a job as a BI Data Analyst in the shortest time possible. You’ll learn how to analyze data, build dashboards, and deliver impactful reports. Along the way, you’ll build portfolio-worthy projects that will help you get job-ready.
Discover what you will learn on your journey to becoming a Business Intelligence Data Analyst!
Learn SQL — a popular language that’s used for communicating with databases and working with data.
Build a foundation in programming with Python with a focus on Data Science!
Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
Learn how to use the Python pandas library and lambda functions for Data Science.
Learn how to reason about data and gain a solid understanding of how to think about data numerically.
Learn about exploratory data analysis (EDA) techniques for Data Science
Bring data and visualization together to tell compelling data stories with eye-catching visuals.
If a picture is worth a thousand words, then a visualization is worth more than a thousand data points. Learn how to make them here!
Learn about different types of analyses, including exploratory, causal, and inferential analyses and how to combat bias in each.
Clean, well-structured data is essential to data science but cleaning data requires both a keen eye and technical skills. Develop both here!
Communication is an important part of your work as a data scientist. Learn best practices for effectively explaining your analysis.
Use your knowledge of data analysis to interpret data about endangered animals for the National Park Service.
Learn how to analyze and visualize data in Microsoft Excel!
Learn the basics of data setup and visualization in Tableau.
Show off your knowledge of data analytics by developing your final portfolio project on a topic of your choice.
Review what you learned in the Business Intelligence (BI) Data Analyst Career Path and explore ways to deepen your knowledge!
Resume Creation
LinkedIn Profile Optimization
Profile creation on other platforms
Understanding your weak points
Have Problem solving & System design interviews
On-demand company-specific interviews
Opportunities in 100+ Partner Tech Companies
Referral to almost all top product companies
Sharing hiring opportunities of different companies
Structured Curriculum
designed by industry experts
Our curriculum covers everything you need to get become a skilled software engineer & get placed at top tech companies. Problem-solving in DS & Algo, CS Fundamentals, System Design, and Full Stack Specialization is covered in a comprehensive manner.
Live classes by instructors
working in top tech companies
This is an active learning classroom program.
You will have 4 classes each week divided into:
1. Concept-building Sessions: Focused on building strong concepts of problem-solving patterns.
2. Implementation Labs: Solving multiple DS & Algo problems to enhance problem-solving intuitions.
Daily hand-picked problems &
weekly contests
It is important you stay consistent & solve problems daily. To enable this, you will get assignments & homework questions after each lecture to practice & implement concepts taught in classes.
Master System Design (HLD + LLD)
with case studies
System Design (both HLD + LLD) is an important aspect of interviews with working professionals. That is why we cover System Design in 9 weeks in a detailed manner. You also do 1:1 discussions with experts, and multiple case studies in live classes & understand the tradeoffs of designing a system.
Regular 1:1 Mentorship sessions
& Mock Interviews
You are assigned a personal mentor currently working in companies like Google, Amazon, and Microsoft for the entire course duration. They help you in:
1. Mock Interview
2. Right Guidance
3. Detailed Feedback on your performance
Highly motivated peer community
to learn and grow
You are part of a thriving & growing community of colleagues who have the same ambition as you. Together, you learn & grow with your colleagues. You solve other people's problems & they solve your problems. Also, interact with industry leaders through our community sessions.
Career paths provide the essential training to launch a new career. Curated by our team of experts, these paths encompass a series of courses, hands-on projects, technical interview preparation, and more. By the end of the program, you'll be well-prepared to begin interviewing for entry-level positions in your chosen field.
A Data Analysis Program is a specialized course designed to teach students the skills required to collect, process, and analyze data to extract valuable insights. The program covers data manipulation, statistical analysis, data visualization, and the use of tools and software such as Python, R, SQL, and Excel.
This program is ideal for individuals looking to start a career in data analysis, professionals seeking to enhance their data-driven decision-making skills, or anyone interested in understanding how to interpret and leverage data effectively.
Students will typically learn to use a variety of tools and software essential for data analysis, including Python, R, SQL, Excel, and data visualization tools such as Tableau, Power BI, and Matplotlib.
Some programs are designed for complete beginners, while others may require basic knowledge of statistics and programming. It is best to check the specific prerequisites of the program you are interested in.
The duration of the program can vary. Intensive bootcamps may last 8-12 weeks, while part-time or self-paced programs can extend to 3-6 months. The specific length depends on the program structure and the student's availability.
Yes, reputable data analysis programs often include career support services such as resume workshops, interview preparation, and job placement assistance. Graduates are typically well-prepared to pursue entry-level positions such as Data Analyst, Business Analyst, or Data Scientist. Programs with strong industry connections and positive alumni outcomes can significantly enhance job prospects.
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