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Introduction

At DSTI Delhi, our Data Analytics Course is specially designed for students, career-switchers, and working professionals who aim to master the art of data analysis and land high-paying roles in today’s data-driven world. Over a dynamic 3–4 month period, you’ll get hands-on with real datasets, tools, and projects that mirror real business problems. Whether you're preparing to become a Data Analyst, Business Intelligence Expert, or Data Engineer, our Delhi training ensures you're job-ready from Day 1.

Modules – Data AnalyticsCourse in Delhi

  • Learn the definition, scope, and real-world applications of data analytics.
  • Understand the differences between data analytics, data science, and business intelligence.
  • Explore the four major types of analytics: descriptive, diagnostic, predictive, and prescriptive.
  • Discover how industries like finance, healthcare, and retail use data analytics for decision-making.
  • Master key Excel functions like VLOOKUP, HLOOKUP, IF, and nested formulas.
  • Learn to build Pivot Tables and Pivot Charts for quick summarization of large datasets.
  • Explore data cleaning tools such as text-to-columns, remove duplicates, and data validation.
  • Create interactive dashboards and visual reports using charts and slicers.
  • Understand database fundamentals, including relational databases and table structures.
  • Learn to write SQL queries to extract, filter, sort, and group data.
  • Practice JOIN operations to combine multiple datasets effectively.
  • Apply SQL in real-time projects involving customer and sales data analysis.
  • Learn to identify and fix missing or inconsistent values in datasets.
  • Understand data types and conversions, such as categorical vs. numerical.
  • Explore techniques like data normalization, encoding, and scaling.
  • Use Python libraries like Pandas and NumPy for efficient data cleaning.
  • Create interactive dashboards using Tableau and Power BI.
  • Use different types of visualizations such as bar charts, line graphs, heat maps, and pie charts.
  • Learn how to connect multiple data sources and create data relationships.
  • Apply best practices in visual storytelling and layout design to present insights clearly.
  • Understand key statistical concepts like mean, median, mode, and standard deviation.
  • Learn probability distributions, sampling methods, and variability measures.
  • Perform hypothesis testing with confidence intervals, p-values, and z/t-tests.

Apply statistical methods to identify patterns and trends in data

  • Learn Python basics: syntax, loops, functions, and data structures.
  • Work with data analysis libraries like Pandas (for data frames) and NumPy (for numerical arrays).
  • Create visualizations using Matplotlib and Seaborn.
  • Automate data manipulation tasks and create reusable Python scripts.
  • Understand machine learning concepts such as supervised and unsupervised learning.
  • Build models like linear regression, logistic regression, and decision trees.
  • Learn to evaluate models using metrics like accuracy, confusion matrix, and ROC-AUC.
  • Train and test models using real-world datasets in Jupyter Notebook.
  • Analyze data from different sectors like banking, e-commerce, and healthcare.
  • Translate business questions into analytical problems and derive data-driven solutions.
  • Use storytelling techniques to present insights to non-technical audiences.
  • Work on mini-projects to understand ROI calculation, customer segmentation, and sales forecasting.
  • Complete a full-cycle project, from data cleaning to final presentation.
  • Choose your dataset or work on a real company project provided by TGC.
  • Build a professional portfolio with code, visualizations, dashboards, and reports.
  • Receive personalized feedback and career guidance from industry mentors.

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    Why Choose Us

    100% Placement Support

    You’ll master tools that are used daily in real analytics jobs: Excel, SQL, Python, Tableau, Seaborn, Pandas, and more. Training is aligned with the tools preferred by companies hiring analysts today.

    Hands-on Practical Learning

    The training is built around practical application. You’ll learn every concept with real examples, work on multiple live projects, and gain the confidence to handle real business problems using analytics tools and techniques.

    Regular Doubt Clearing

    We schedule weekly and on-demand doubt-solving sessions. Whether it’s Excel formulas or SQL queries, trainers provide one-on-one support so no student is left behind. Personal mentorship helps you learn better.

    Experienced Trainers

    Our trainers are not just teachers—they are working professionals from the industry. They bring current knowledge, real case examples, and project experience into the classroom, making every session practical and updated.

    Latest Tools & Technologies

    You’ll master tools that are used daily in real analytics jobs: Excel, SQL, Python, Tableau, Seaborn, Pandas, and more. Training is aligned with the tools preferred by companies hiring analysts today.

    Industry-Based Projects

    From retail trends to sales performance analysis, you’ll work on projects that are taken from real business scenarios. These help build a job-ready portfolio and demonstrate your skills to potential employers.

    Flexible Batches

    Whether you are a student or a working professional, we have batch options to suit you. Choose from weekday or weekend classes with the same quality and structure. No missed session goes unattended.

    Certification with Value

    After completing the course and projects, you’ll receive a certification from Python Training Institute. It adds value to your profile and improves your credibility when applying for analytics jobs.

    Top Placements

    Our Process

    Personalized Counseling

    We begin with a one-on-one session to understand your background, goals, and guide you toward the right batch, tools, and learning format.

    Demo Class Access

    You’ll be invited to attend a demo class before enrolling. It gives you a first-hand feel of our teaching style, content quality, and how practical the course really is.

    Smooth Enrollment

    After enrollment, you’ll get full access to course materials, class schedules, software tools, student dashboard, and onboarding assistance to get started quickly and comfortably.

    Real-Time Training

    We follow a practice-first model. Each topic is taught with an example and followed by practical exercises using real business data. Assignments ensure you're applying what you learn.

    Regular Assessments

    Weekly tasks, mini-projects, and regular tests keep your progress in check. Trainers review your work and give personal feedback to improve your skills.

    Doubt Support & Mentorship

    No student is left confused. You can book a doubt session anytime or attend scheduled doubt-clearing classes every week. Trainers are always available to help.

    Job Readiness Training

    We prepare you for job interviews with mock sessions, technical tests, HR rounds, and real questions asked by top companies. Resume and LinkedIn improvement sessions are also included.

    Placement Assistance

    After completing the course, you’ll receive full job assistance. Our placement team sends you job leads, arranges interviews, and helps you prepare till you secure your first offer.

    Here's what our learnerssay!

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    JOB PLACEMENT

    How Will You Secure Your First Job?

    You’ll learn the most relevant tools and skills used in data analyst roles: Excel, SQL, Python, Tableau, and business communication. No filler content—only what recruiters look for.

    Each module comes with a project that applies what you’ve learned. These projects become part of your portfolio, which you can showcase during interviews.

    We guide you in creating a powerful resume and help you optimize your LinkedIn profile. Your profile will reflect your skills, projects, and certification—making you job-market ready.

    Mock interviews and personal feedback help you feel confident and ready. We train you for technical rounds, scenario-based questions, and real-time data problems.

    We are connected with hiring partners across Delhi and India. You’ll get job leads, direct interviews, and referral support to help you crack your first analytics job.

    Even after you complete the course, we continue guiding you with interview help, new job openings, and learning updates to stay relevant in the field.

    Honest Reviews, RealInsights

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      Frequently AskedQuestions(FAQ)

      Anyone with a passion for data and problem-solving can join this course. It’s suitable for students, fresh graduates, working professionals, business analysts, and even non-technical individuals. No prior experience is required as the course starts from scratch.

      Data analytics focuses on analyzing existing data to find actionable insights using tools like Excel, SQL, and Power BI. Data science, on the other hand, involves building predictive models using machine learning and advanced algorithms. Our course focuses on practical analytics that businesses use every day.

      Yes, the course covers all major tools used in the industry, including Microsoft Excel, SQL for databases, and Power BI or Tableau for data visualization. You’ll learn how to work with real business data and present insights through interactive dashboards.

      No, deep programming knowledge is not mandatory. However, we teach you Python for basic data analysis tasks. The focus remains on tools, techniques, and logic — so even non-programmers can succeed in this course.

      The duration ranges from 2.5 to 4 months, depending on the batch type (weekday, weekend, or fast-track). We offer flexible timings so both students and working professionals can join comfortably without disturbing their daily routines.

      Yes. After successful completion, you’ll receive a recognized Data Analytics Certificate from our Delhi institute. This certification helps validate your skills to employers and adds weight to your job applications.

      Absolutely. Practical learning is a major part of the course. You’ll work on real datasets from industries like healthcare, retail, and finance. From cleaning data to analyzing trends and presenting reports — you’ll practice everything hands-on.

      You can apply for roles such as Data Analyst, Business Analyst, Reporting Analyst, MIS Executive, and Junior Data Scientist. With enough experience and portfolio potency, you can also move toward data engineering or data consulting roles.

      Yes, we offer dedicated placement assistance that includes resume preparation, mock interviews, job referrals, and guidance on freelancing or remote job opportunities. Our team helps you confidently enter the job market.

      Unlike generic online tutorials, our course offers personalized mentorship, hands-on training, live doubt-clearing, industry projects, and direct guidance from experts. Whether you choose offline or online classes, you’ll get full support from start to job placement.

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