Home » Data Analytics Generative AI For Analysts And MIS
Quality Thought‘s business analyst to data analyst course is designed for business analysts, MIS executives and reporting professionals who want to strengthen their skills in Excel, SQL, Power BI, Python, statistics, data visualization and generative AI. The program combines practical analytics training with hands-on exercises and real-world applications to help experienced professionals build stronger data-driven capabilities. Explore More Courses from Quality Thought to discover additional career-focused training programs.
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Choose a learning format and schedule that fits your lifestyle
Everything you need to build practical Data Analytics skills
Work on real-world projects from day one with industry use cases
Learn from industry professionals with 10+ years of experience
Dedicated placement cell with assistance until you get hired
Get certified and boost your resume with recognized credentials
Access to learning materials and recorded sessions
Weekly mock interviews to prepare you for real job scenarios
Professional resume preparation and LinkedIn profile optimization
Communication, aptitude, and personality development sessions
● Pay After Placement Options Available
● Flexible Payment Plans
● 6-12 Months LMS Access
● Doubt Clearing Sessions
● 24/7 Learning Support
● Mega Job Drives
Select the program that best fits your career goals and availability
Best for: Beginners & learners
Best for: Job seekers aiming for placements
Best for: Learners seeking internship + placement assistance
Not sure which program to choose? Contact our counselors for a free consultation. We’ll help you select the best program based on your background, goals, and availability.
Comprehensive modules covering Python, SQL, Excel, Power BI, statistics, data visualization, and data analysis
Number Functions
Arithmetic Functions
Text Functions
Time & Date Functions
Pivot Tables
Slicers & Charts
Lookup Functions
Communication Skills
Speech Intelligence
Personality Development
Management Skills
Interview Skills
Presentation Skills
Creativity & Critical Thinking
Arithmetic
Reasoning
Practical training with Python, SQL, Power BI, Advanced Excel, data visualization, case studies and projects.
Everything you need to get started with Data Analytics
Special Note: This program can support professionals exploring data analytics for finance course applications, learners planning a career change to data analytics, candidates looking for data analytics training in Hyderabad, and organizations considering structured data analytics corporate training for their teams.
Your success is our priority. Here’s what makes us the best choice for your career growth
Years Experience
Students Trained
Hiring Partners
Placement Rate
Established training institute with proven track record of producing industry-ready professionals
Learn from trainers with 10+ years of real-world industry experience in leading tech companies
Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired
Updated syllabus covering latest technologies and industry best practices with hands-on projects
Not just training, but complete career transformation with soft skills and interview preparation
Flexible payment options including pay after placement for eligible candidates
Multiple batch timings to suit working professionals, students, and freshers
Work on real client projects during internship at Ramana Soft IT company
Quality Thought’s practical learning approach can provide structured exposure through a data analytics bootcamp course, practical industry experience through a Data Analytics Internship Course, career-focused support through a Data Analytics Job Assistance Course, and hands-on implementation through a Data Analytics Real Time Project.
Earn a course completion certificate that validates your Data Analytics training and project experience
Data Analyst
This certifies that
[Your Name]
has successfully completed the
Data Analyst
Training Program
Ameerpet, Hyderabad
QT-2028-XXXX
Certificate provided upon successful completion of the Data Analyst training program.
Validates your training in Data Analytics, Python, SQL, Excel, Power BI, statistics, and data visualization.
Recognizes practical learning through live projects and case studies included in the program.
Certificate options can be presented as applicable to the selected training program.
Upon successful completion of training program
For I&I program from Ramana Soft IT Company
For major projects completed during training
Find answers to common questions about our Data science with AI training program
It replaces manual recurring work with modelled and automated work: SQL instead of exports, a Power BI semantic model instead of multiple pivot tables, and Python scripts instead of monthly copy-paste cycles. It also introduces generative AI capabilities that can complement a data analytics with generative AI course.
Yes, and it is one of the most natural transitions available because MIS work already involves data sourcing, reconciliation and stakeholder reporting. The gap is usually SQL depth, data modelling and visualization, which this program develops. These skills can also be relevant when preparing for data analytics jobs USA.
It covers Power BI Desktop, data modelling with star schemas and relationships, DAX measures and time intelligence, filter context, row-level security, report design, and publishing and refresh in the Power BI Service.
Advanced Excel covers INDEX-MATCH and XLOOKUP, dynamic arrays, Power Query for cleaning, the data model and Power Pivot, pivot table depth, and dashboard construction. The structured approach can also support learners who began with a data analytics course for freshers and are now developing more advanced analyst skills.
SQL coverage runs from joins and aggregates through window functions, subqueries and CTEs, date and period-comparison logic for reporting, and enough performance awareness to read a query plan.
The routine parts of reporting are being automated, which is precisely why the role is shifting toward modelling, data quality and interpretation. Analysts who can model data and verify AI output are more secure than those producing manual reports.
Confirm current weekday-evening and weekend batch timings before publishing them.
Not for every analyst role, but it is what lets you automate recurring work, handle datasets too large for Excel, and do exploratory analysis that dashboards cannot. A data analytics certification can also help document the skills developed through structured analytics training.
Don’t wait! Start building practical data analytics skills with Quality Thought. Learn Python, SQL, Power BI, Advanced Excel, statistics, and data visualization through hands-on training, case studies, and projects. Take the next step toward your career in Data Analytics.
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