TechPanda trains you in Excel, SQL, Python, Power BI and data visualization with real-time projects, practical datasets and job-focused skills to prepare you for industry-ready data analyst roles.
The Data Analyst course is designed to build strong foundations in data analysis, data processing and business insights. Learners gain expertise in Excel, SQL, Python and data visualization to analyze structured data and support data-driven decision-making.
This course emphasizes real-world data analytics skills, including data cleaning, exploratory data analysis, statistical analysis and dashboard creation using Power BI or Tableau. Learners work with real datasets to gain practical experience required for data analyst jobs.
With hands-on projects and industry use cases, the Data Analyst course prepares you for entry-level and mid-level data analyst roles, improves employability and supports preparation for data analytics certifications in today’s competitive job market.
1. Industry-Relevant Data Analyst Skills:
Develop in-demand skills such as Excel, SQL, Python and data visualization that
companies rely on to drive business decisions.
2. Hands-On Data Analytics Projects:
Work on real-world projects focused on data cleaning, analysis and dashboard
creation to gain practical experience.
3. Job-Oriented Data Analyst Curriculum:
The syllabus aligns with current industry requirements and real data analyst
job roles.
4. Power BI & Dashboard Training:
Master reporting, dashboards and data visualization techniques used in
business intelligence roles.
5. Strong Career Growth Opportunities:
High demand for data analysts across IT, finance, marketing and healthcare
offers strong salary growth.
6. Certification & Interview Readiness:
Structured training supports data analyst certification preparation and boosts
interview confidence.
1. Freshers & Graduates:
Students aiming to launch a career in data analysis by learning Excel, SQL and
data visualization.
2. Working Professionals:
Professionals transitioning or advancing careers through analytics and business
intelligence skills.
3. Non-IT Graduates with Analytical Interest:
Graduates from commerce, finance, math or statistics backgrounds aspiring to
become data analysts.
4. Marketing & Finance Professionals:
Professionals using Power BI dashboards and analytics for business insights.
5. Software & IT Professionals:
Developers, testers and support engineers enhancing profiles with SQL and data
analytics skills.
6. Career Switchers with Basic Computer Knowledge:
Anyone committed to mastering data analysis tools through consistent practice.
The same detailed curriculum will be included in the Data Analyst course brochure.
1. Is coding required for a Data Analyst course?
Advanced coding is not required, but basic SQL and Python help perform analysis
efficiently.
2. What tools will I learn?
Excel, SQL, Python, Power BI, Tableau and data visualization tools.
3. What job roles can I apply for?
Data Analyst, Junior Data Analyst, Business Analyst and Reporting Analyst.
4. Does the course include real-time projects?
Yes, hands-on projects using real datasets and business scenarios.
5. Is the Data Analyst course suitable for freshers?
Yes, freshers with basic computer skills can build job-ready analytics skills.
6. Does this course help with certification?
Yes, it supports Data Analyst certification preparation and interview readiness.
7. What salary can a Data Analyst expect?
Competitive salaries, with higher pay for strong SQL, Power BI, Python and
visualization skills.