Freshers who are uncertain where to begin receive a sequential roadmap. The course starts with computer and data foundations, develops tool confidence and repeatedly connects technical work to business questions.
Learn Advanced Excel, Power Query, SQL, statistics, exploratory data analysis, Python, pandas, Power BI, DAX, Tableau, business intelligence and reporting through live instruction and guided practice. The course connects every tool to an end-to-end workflow so that learners understand not only how to build a chart, but also how to validate the data and explain what the result means. When a verified centre and classroom batch exist: Learners in Dhar can choose from the currently announced online, classroom or hybrid options. Classroom sessions are conducted at Skillonit Learning Hub Private Limited, 3rd Floor, Shrishantul Tower, Chikhali Rd, Buldana, Maharashtra 443002, subject to current batch and seat availability.
Beginner-friendly learning path with progressive practical depth. Excel, SQL, Power BI, Tableau and Python in one connected roadmap. Assignments, dashboards, business cases and portfolio projects. Career preparation and placement assistance according to the active batch policy. Current fees, duration, mode, trainer and batch details displayed before enrollment.
Learners who want face-to-face teaching, fixed batches, and local classroom guidance.
Included in this mode
Learning flow
Skillonit’s program follows a complete workflow. Learners identify a question, understand the available data, check quality, clean and combine sources, calculate metrics, explore patterns, build an understandable report and communicate recommendations. This approach is more useful than a tool-only course that teaches commands without business context. Learners in Dhar can build practical Data Analytics skills through Skillonit's structured live learning pathway. The page is intended for learners in Dhar who want current course, batch, fee, project and career-support details before enrolling.
Next, examine how learners practise. Useful training requires more than watching a trainer build a dashboard. Students should write SQL, clean messy data, define KPIs, validate totals, choose charts, document assumptions and present conclusions. Ask how assignments are reviewed and how project errors are corrected. Review the current delivery information. Live online training should include interaction and support, not only recordings. Classroom training should be advertised only for a verified centre and active batch. Fees, duration, timing, recording access, trainer, certificate conditions and career support should be clear before payment. Finally, compare outcomes realistically. A course can provide training and career assistance, but employment depends on the learner’s practice, education, communication, portfolio and the hiring market. Avoid decisions based on unsupported placement percentages, salary promises or claims that a certificate is accepted everywhere.
Learn Excel, SQL, Power BI, Tableau and Python in one connected Data Analytics roadmap.
Practice data cleaning, reporting, dashboard design and business-focused analysis.
Complete assignments, case studies, mini projects and a guided capstone portfolio.
Develop the communication skills needed to explain insights to technical and non-technical audiences.
Active module
1Business questions, dimensions and measures
2KPIs, metrics and targets
3Analytical workflow and documentation
4Ethics, privacy and responsible interpretation
5Guided practice: Translate a business scenario into a question tree, metric definition sheet and analysis plan.
6Module 2: Microsoft Excel Fundamentals for Analysts
7Workbook and worksheet structure
Selected batch
Start DateUpcoming
TimingsRegular live sessions
Duration16 weeks
ModeClassroom
Lead Trainer
Analytics Specialist
6+
Years Experience
LAB
Practice Support
Skillonit's Data Analytics trainers focus on concept clarity, guided practice, project review, responsible learning and career preparation. Verified trainer names, profile details and batch assignments are shared from approved records before enrollment.
Meera Iyer focuses on practical Data Analytics training with a learner-first approach. Sessions combine clear concept explanation, demonstrations, lab-based practice, and interview-oriented guidance so students understand how the skill is applied in real work.
Concept-first explanations
Hands-on practice and assignments
Project and portfolio guidance
Doubt-solving support
Career-oriented mentoring
Responsible tool usage and documentation
The certificate section should state the exact eligibility rules, issuing organization, issue date, credential or verification identifier where available, and the process for correcting a learner’s name. A sample image may be displayed only when it matches the certificate that will actually be issued. Learners should support the credential with practical evidence: Excel workbooks, SQL case studies, dashboards, notebooks, project documentation and a concise presentation. Employers commonly evaluate what a candidate can explain and demonstrate, not only the certificate title.
Course-completion certificate
Assignment and project-based validation
Useful for resume and portfolio building
Certificate details subject to current course policy
Certificate ID
SKL-DAT-2026
Certificate of Completion
This certifies that the student has completed Skillonit’s Data Analytics training with practical tasks, quizzes, and project assessment.
Presented to
Student Name
For successful completion of Data Analytics Course
Completion Date
18 Jun 2026
Authorized Signature
Verification-ready certificate preview for LMS completion.
Learn Excel, SQL, Power BI, Tableau and Python in one connected Data Analytics roadmap.
Practice data cleaning, reporting, dashboard design and business-focused analysis.
Complete assignments, case studies, mini projects and a guided capstone portfolio.
Develop the communication skills needed to explain insights to technical and non-technical audiences.
Access career and placement assistance according to the services included in the active batch.
Business questions, dimensions and measures
KPIs, metrics and targets
Analytical workflow and documentation
Ethics, privacy and responsible interpretation
Workbook and worksheet structure
Data types and formatting
Excel tables and structured references
Tools students practice
This course blends clear concepts, practical training, guided projects, quizzes, and career-focused assessment to help learners build confidence and move toward real opportunities.
Learners in Dhar follow a structured path from foundations to practical projects, portfolio preparation, certification requirements and career-readiness guidance.
Freshers who are uncertain where to begin receive a sequential roadmap. The course starts with computer and data foundations, develops tool confidence and repeatedly connects technical work to business questions. BCom, BBA, MBA and commerce learners Commerce and management learners often understand finance, marketing or operations but need stronger technical analysis skills. Excel, SQL, Power BI and business metrics can help them combine domain knowledge with data-driven reporting. BCA, BSc, MCA and engineering learners A technology degree is not mandatory. Non-IT learners should be prepared to practise consistently, learn database concepts and become comfortable with structured problem solving. The program introduces the required foundations gradually.
Projects should require learners to make decisions. Copying a finished dashboard is not the same as analyzing data. A strong project asks the learner to inspect data quality, define useful metrics, justify chart choices, calculate KPIs, document assumptions and present recommendations. Feedback should evaluate both technical accuracy and clarity of communication.
Transparency is equally important. Before enrolling, learners should be able to review the current syllabus, actual delivery mode, expected practice time, batch schedule, fees, trainer information, certificate conditions, recording policy and career-support services. Any claim about guaranteed employment, salary, interview rates, trainer experience, partnerships or external recognition should be supported by current evidence.
Learn Excel, SQL, Power BI, Tableau and Python in one connected Data Analytics roadmap.
Practice data cleaning, reporting, dashboard design and business-focused analysis.
Complete assignments, case studies, mini projects and a guided capstone portfolio.
Develop the communication skills needed to explain insights to technical and non-technical audiences.
Access career and placement assistance according to the services included in the active batch.
Business questions, dimensions and measures
KPIs, metrics and targets
Analytical workflow and documentation
Admission enquiry
Share your details and our team will help you choose the right Data Analytics batch, learning mode, syllabus, fee plan, and career path.
Students, graduates, freshers, working professionals and committed beginners from Dhar can join based on the active batch requirements.
Build strong foundation skills in Data Analytics
Apply concepts through guided practical projects
Use portfolio work to start client-ready practice
Prepare for internships, jobs, or higher learning
Beginner-friendly learning path with progressive practical depth.
Excel, SQL, Power BI, Tableau and Python in one connected roadmap.
Assignments, dashboards, business cases and portfolio projects.
Career preparation and placement assistance according to the active batch policy.
Current fees, duration, mode, trainer and batch details displayed before enrollment.
Learn Excel, SQL, Power BI, Tableau and Python in one connected Data Analytics roadmap.
Practice data cleaning, reporting, dashboard design and business-focused analysis.
Complete assignments, case studies, mini projects and a guided capstone portfolio.
Develop the communication skills needed to explain insights to technical and non-technical audiences.
Access career and placement assistance according to the services included in the active batch.
Business questions, dimensions and measures
KPIs, metrics and targets
Analytical workflow and documentation
Internship Program
Skillonit’s Data Analytics Internship Program in Dhar is a mentor-guided practical pathway available in 1-month, 3-month and 6-month formats. Participants learn how to convert raw business data into reliable reports, dashboards, KPIs and decisions using Excel, SQL, Power BI, Tableau and Python. The program combines structured training, assignments, project reviews, documentation, portfolio support and a completion certificate subject to published requirements.
The internship is designed for students, commerce and management graduates, professionals, business users, analysts and career switchers. It turns course knowledge into structured practice through mentor-led onboarding, guided tasks, project milestones, review meetings, documentation and a final presentation. Participants are expected to build, test, explain and improve their work instead of only watching demonstrations.
Available durations
1 month, 3 months and 6 months
Delivery modes
Live online, classroom or hybrid—subject to the selected batch and location
Local availability
Local centre, mode, start date and seat availability are shared only from verified city data.
Learning model
Training + mentor-guided tasks + project reviews + portfolio evidence
Projects
Mini project, guided projects and capstone according to duration
Support
Onboarding, doubt clearing, task planning, review feedback and presentation guidance
About Program
Skillonit’s Data Analytics internship is designed as a bridge between learning and practical delivery. Interns begin with a baseline assessment and a clear task plan, then progress through demonstrations, guided exercises, independent work and review. The focus is on understanding why a solution works, how to communicate decisions and how to improve quality after feedback.
The work is aligned with Excel, data cleaning and structured reporting, Power BI or Tableau dashboard development and data modelling, DAX and advanced SQL. Longer pathways include more complex requirements, collaboration, documentation, testing and presentation. Interns maintain a task log or project board so that progress can be reviewed objectively rather than judged only by the final output.
The internship does not guarantee employment, freelance income, client allocation or a stipend. It provides practical exposure, evidence of completed work and career-readiness support. Any employment or paid internship opportunity is published separately with its own eligibility, application deadline, compensation and selection process.
Duration Options
The one-month pathway is a focused four-week experience for learners who want an introduction to professional data analytics and business intelligence practice. It prioritizes orientation, essential tools, one clear workflow and a mentor-reviewed mini project. It is most suitable for beginners, students testing the domain, or course learners who need a short practical component.
Week 1 – Orientation and foundation: skill assessment, program rules, tool setup, task tracking, Excel, data cleaning and structured reporting and a short guided exercise.
Week 2 – Core practice: SQL querying and database basics, mentor demonstration, individual practice and a quality checklist.
Week 3 – Mini project build: apply statistics, KPIs and analytical thinking to a scoped project with milestone review and corrections.
Week 4 – Finalization: testing or quality review, documentation, presentation, mentor feedback and next-learning roadmap.
Expected 1-month evidence: One completed mini project, task log, project summary, mentor feedback record and final presentation. Example project: Excel MIS and performance report.
The three-month pathway is the recommended option for learners who want meaningful portfolio evidence. It combines a foundation phase, an applied phase and a capstone phase. Interns work on at least two guided assignments and one larger project, with regular reviews that focus on quality, documentation and problem-solving.
Month 1 – Foundation and workflow: Excel, data cleaning and structured reporting, SQL querying and database basics, statistics, KPIs and analytical thinking; tool setup; guided exercises; communication and documentation standards.
Month 2 – Applied delivery: Power BI or Tableau dashboard development, business case analysis and data storytelling, Python-based analysis with pandas; first project review; debugging, critique or analysis; iteration after feedback.
Month 3 – Capstone and portfolio: build Power BI executive dashboard or another approved project; complete testing, documentation, presentation and portfolio packaging.
Expected 3-month evidence: Two guided projects, one capstone, weekly progress records, review notes, final presentation and a portfolio-ready case study. Suggested project options include SQL sales analysis, Power BI executive dashboard and Marketing campaign analysis.
The six-month pathway is intended for learners seeking deeper, sustained practical experience. It includes specialization, team workflow, quality assurance and a production-style capstone. Interns gradually take greater ownership while remaining accountable to scope, security, ethics and mentor review.
Month 1 – Foundation: Excel, data cleaning and structured reporting and SQL querying and database basics, baseline tasks and work standards.
Month 2 – Core build: statistics, KPIs and analytical thinking plus the first guided project and review cycle.
Month 3 – Applied specialization: Power BI or Tableau dashboard development and business case analysis and data storytelling with an intermediate project.
Month 4 – Integration: Python-based analysis with pandas and cross-functional workflow, documentation and quality checks.
Expected 6-month evidence: A structured portfolio containing three or more projects, an advanced capstone, documented iterations, mentor reviews, a presentation and a skills matrix. Suggested advanced projects include Marketing campaign analysis, Operations or inventory analytics and End-to-end BI capstone.
Skills and Tools
Working Environment
The exact stack may vary by batch and project. Typical tools include Microsoft Excel, Power Query, SQL, Power BI, DAX, Tableau, Python, pandas, GitHub, approved cloud spreadsheet or database. Skillonit should publish only the tools that are actually supported in the selected batch and provide setup guidance, access requirements and alternatives where paid licences are involved.
Project Practice
Real client projects are included only when an approved project, permission and review process are available; otherwise learners work on realistic industry simulations or mentor-designed capstones.
Training Support
Workflow
Eligibility
Basic computer skills are enough for the foundation path. Familiarity with spreadsheets is useful but not mandatory.
Assessment
Evaluation should be transparent and based on evidence rather than vague participation. Recommended criteria include attendance, timely task completion, understanding of the work, quality of implementation, response to feedback, documentation, ethics and final presentation. The certificate should state the program title, duration, completion date and credential ID only when those fields are actually maintained by Skillonit.
Certification and Career
The internship can support preparation for roles such as Data Analytics Intern, Business Intelligence Intern, MIS Reporting Intern, Power BI Intern, SQL Analytics Intern, Business Analyst Intern. It may also help learners demonstrate practical work for further study, entry-level applications, freelance proposals, startup prototypes or internal role transitions. Outcomes depend on the learner’s starting level, effort, project quality and the requirements of each opportunity; no job, income, client or admission result is guaranteed.
Program Features
Search Focus
Apply Now
Apply for the Data Analytics Internship Program in Dhar and choose the duration that matches your goals. Complete the application form with accurate information so the admissions and mentor team can recommend the appropriate pathway.
Apply Now
Internship FAQs
Skillonit’s Data Analytics Internship Program in Dhar is a mentor-guided practical pathway available in 1-month, 3-month and 6-month formats. Participants learn how to convert raw business data into reliable reports, dashboards, KPIs and decisions using Excel, SQL, Power BI, Tableau and Python. The program combines structured training, assignments, project reviews, documentation, portfolio support and a completion certificate subject to published requirements.
Learners can choose 1 month, 3 months or 6 months. The one-month track is introductory, the three-month track is portfolio-focused, and the six-month track provides deeper project and production-style experience.
Yes, the foundation pathway is designed for learners who meet the basic device and participation requirements. Basic computer skills are enough for the foundation path. Familiarity with spreadsheets is useful but not mandatory.
Projects may include Excel MIS and performance report, SQL sales analysis, Power BI executive dashboard, Marketing campaign analysis. Final projects are selected according to duration, learner level, mentor capacity and available project briefs.
Yes. The program combines concept refreshers, guided exercises and tool setup before independent tasks. Training depth depends on the selected duration and baseline assessment.
The program includes mentor-guided projects. A real client or production project is offered only when a suitable approved opportunity is available; otherwise, the learner completes a realistic industry simulation or internal capstone.
A completion certificate may be issued after the learner meets the published attendance, task, project, evaluation and final-presentation requirements.
A stipend is not automatic. Stipend status must be displayed for each approved opening. A training internship may have a program fee, while a genuine employment internship must be published separately with its own terms.
Online, classroom and hybrid options may be available. The exact mode, schedule and mentor availability should be confirmed for the selected batch.
Yes, subject to eligibility, schedule and mentor capacity. Weekend or evening options may be offered when listed in the active batch information.
No. The program provides practical learning, portfolio evidence and career-readiness support, but employment, freelance income, client allocation and interview results depend on external selection processes.
Select Apply Now, choose the duration and mode, submit accurate education and skill details, and complete any baseline task requested by the internship team.
Classroom availability depends on the verified local centre, mentor capacity and active batch. Display the exact address and mode only when confirmed.
The approved fee should be loaded from the CMS for the selected duration and batch. Do not place a generic or outdated fee in the page copy.
Yes, when an online batch is active and the learner has the required device, internet access and schedule availability.
Popular searches covered
These are the common search topics this page answers through the course information, syllabus, FAQs, fees, batches, tools, projects, certification, and career-support sections.
Course guide
A detailed, student-friendly guide covering the learning path, tools, projects, career preparation, certification, and course expectations.
Yes. The program starts with foundations and progresses through Excel, SQL, statistics, Python and BI dashboards.
No. Prior coding is not required. Python is introduced from the beginning.
The planned toolset includes Excel, Power Query, SQL, Power BI, DAX, Tableau, Python, pandas and GitHub.
Yes. Formulas, lookups, PivotTables, charts and reporting are covered.
Yes. Learners study foundations, joins, subqueries, CTEs and window functions.
Yes. The course includes data preparation, modelling, DAX, visuals and sharing awareness.
Yes. Confirm the practical depth in the active batch syllabus.
Yes. Python and pandas are used for data cleaning and exploratory analysis.
Yes. They should plan additional time for database, software and technical practice.
Yes, subject to current admission policy. Learners should continue building formal education and practical skills for their target role.
Yes. Weekend or evening batches may be available when listed.
The approved duration is 16 weeks. Confirm total learning hours and weekly practice expectations.
Fees are shown as Get Fees when approved. Otherwise use the Get Current Fees form.
Live online classes are available only when an active online batch is listed.
Only when a verified centre and current classroom batch are displayed.
Yes. Planned work includes Excel, SQL, Power Query, Power BI, Tableau, Python and a capstone.
Eligible learners receive a Skillonit course-completion certificate after meeting batch requirements.
Placement assistance may be included; employment is not guaranteed.