Entri Data Analytics Course FAQs

Ans: Entri Elevate's Data Analytics Certification Program is meticulously crafted to empower you as a data analyst, offering comprehensive knowledge across data analysis tools like Excel, Power BI, MySQL, and Python. It includes interactive mentored sessions and hands-on exploration of key tools for deriving insights and making data-driven decisions.

Ans: The curriculum includes Pre-Learning Module, Data Analysis Using Excel (basics, formulas, Power Query, data cleaning, exploration, pivot tables, visualization), Power BI (ecosystem, data modeling, DAX, reports, dashboards), MySQL (databases, SQL commands, queries, functions, procedures), Python (syntax, data structures, OOP, NumPy, Pandas, visualization with Matplotlib/Seaborn, web scraping, PySpark), Project Development, and Placement Training & Soft Skills.

Ans: The course duration is 6-7 months plus 1 month for the Capstone Project (Elite Batch: 6 months, Foundational Batch: 7 months).

Ans: You’ll receive an Entri Course Certification, NSDC Certification (National), Illinois Certification (International), and Mid Level Certification.

Ans: Highlights include tailored curriculum aligned with industry standards, inclusive & immersive hybrid training sessions (mentor-led live core sessions and self-paced content in native language Malayalam), free soft skills training, industry expert sessions, 80% hands-on experience, placement assistance for eligible learners, community linking.

Ans: Yes, the course emphasizes hands-on learning with 80% practical focus, including topic-based assignments, module-end assignments, mini projects, competitive tasks, and a full-fledged Capstone Project solving real-world challenges.

Ans: The course does not explicitly focus on AI tools, but includes Python modules that can support AI-related data handling, such as NumPy and Pandas for data manipulation, and web scraping with BeautifulSoup and Selenium.

Ans: Entri Elevate provides comprehensive placement assistance, access to diverse job opportunities, industry mentorship from companies like Tesla, Google, Samsung, and Zeta, resume reviews, and connections with top hiring companies.

Ans: Each batch is limited to ensure personal attention and effective learning, though specific numbers may vary; contact Entri for details.

Ans: The course is online, featuring recorded video lectures and interactive mentored learning.

Ans: No, a technical background is not required. The course starts with basics like data analytics introduction and Excel fundamentals and gradually moves to advanced topics like Python and database management

Ans: Yes, a demo class is available to help you understand the teaching methodology and course content.

Ans: Yes, internship opportunities are available post-course based on a selection process through Entri Elevate’s career services.

Ans: The course covers data analysis with Excel (formulas, cleaning, visualization), Power BI (modeling, DAX, dashboards), MySQL (SQL queries, functions, procedures), Python (data structures, NumPy, Pandas, visualization, web scraping, PySpark), and integration between tools like connecting MySQL/Python to Power BI.

Ans: Real-world learning includes hands-on mini projects (e.g., applying Excel/Power BI in 10 days, MySQL in 5 days), competitive tasks, and a Capstone Project applying data analytics concepts over 1 month.

Ans: Topics include introduction to interface, basics (data entry, insertion, deletion, importing, tables), formulas (sum, min, max, count, average, if, sumif, etc.), Power Query (cleaning, duplicates, missing data, text-to-columns), data transformation, what-if analysis, exploration (filtering, sorting, descriptive stats), date/time functions, lookups (VLOOKUP, etc.), pivot tables, visualization (charts, graphs, dashboards).

Ans: Tools include Excel for charts and pivot charts, Power BI for visualizations (bar, pie, etc.), conditional formatting, dashboards with slicers/buttons, and Python libraries like Matplotlib and Seaborn for plots (scatter, line, histogram, etc.).

Ans: MySQL covers introduction to databases/RDBMS, normalization, SQL commands (DDL, DML, DCL, TCL), keys/constraints, queries (SELECT, WHERE, GROUP BY, JOINs, etc.), functions (math, string, date), procedures, subqueries, views, triggers, and connecting to Power BI.

Ans: Yes, placement support and internship opportunities are available through Entri Elevate’s career services, including connections to companies where students have been placed like Deloitte, EY, Accenture, Infosys, and more.

Ans: Yes, all sessions are recorded and can be accessed for self-paced learning and revision.

Ans: Yes, Entri offers doubt-clearing through mentor-led sessions, interactive Q&A, and support groups for instant help.

Ans: Anyone with a passion for data analytics can join. No specific degree or technical background is required. Students, freshers, job seekers, and professionals can enroll.

Ans: After completing the course, you can apply for roles such as Data Analyst, Business Analyst, Data Visualization Specialist, SQL Analyst, Python Data Analyst, BI Developer, and Reporting Analyst.

Ans: Yes, the course is designed to start from the basics of data analytics and tools like Excel and gradually build up to advanced levels, making it ideal for beginners.

Ans: Yes, Entri Elevate includes sessions on resume building, personalized resume reviews, and preparation for interviews to make you job-ready.

Ans: Entri offers vernacular support , interactive mentored sessions, 80% hands-on experience, industry mentorship, recognized certifications, and access via mobile app.

Ans: Yes, working professionals can take Entri’s Data Analytics course. The flexible schedule with 8-12 hours/week, recorded sessions, and self-paced content make it convenient to learn at your own pace.

Ans: Yes, Entri provides recordings of all sessions. You can revisit them anytime, allowing for self-paced learning and easy revision.

Ans: Yes, Entri offers EMI and flexible installment payment options to make the course affordable for all learners.

Ans: In Entri’s Capstone project, you’ll apply all your learning to a real-world scenario—such as analyzing datasets using Excel, Power BI, MySQL, and Python to derive insights and create dashboards, spanning 1 month.