Capstone Project and Career Preparation
Data Analytics with Python course in Delhi NCR
Excel, SQL, Power BI & Python Training with 100% Placement
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Introduction to Data Analytics with Python Course in Delhi
At a time when data has become the new currency, the growing demand for professionals skilled in data has made data analytics one of the most sought-after qualifications in the current job market.
Data analysis involves examining raw data to uncover patterns, trends, and insights, which help in making informed decisions. Are you looking for the top institute offering data analyst course in Delhi? Our data analytics course in Delhi NCR aims to provide you with the basic to advance skills required for effective data analysis and interpretation.
The Big Data technology and services market in India is projected to reach US$3.38 billion by 2029, hence the demand for data analysts is increasing in major tech cities like Bangalore, Pune, and Delhi.
Whether you are a beginner or a working professional, this data analytics training in Delhi will help you master Excel, SQL, Power BI, Python, and statistics, preparing you for high-paying job opportunities.
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Who can take advantage of this course?
4 core types of Data Analytic - Explained in Simple Terms
1. Descriptive Analytics – Understanding the Past
Descriptive analytics answers the question, “What happened?” It organizes and summarizes historical data to indicate patterns and trends. You can view this as a report showing last month’s sales, website traffic, and customer purchases – giving you a clear picture of past events.
2. Diagnostic Analytics – Finding the Cause
With the help of diagnostic analytics, one can answer the question, “Why did this happen?” It examines the data more deeply to understand the reasons behind specific trends. If sales declined last month, diagnostic analysis will help determine whether the increase was due to prices, a lack of customers or other factors — much like a detective examines evidence.
3. Predictive Analytics – Looking Into the Future
The goal of predictive analytics is to anticipate what will happen next by using past data, statistics, and machine learning to determine future trends. For example, an online retail company can analyze past purchasing behavior to predict which items will be popular in the upcoming season – this is similar to business weather forecasting.
4. Prescriptive Analytics – Making the Best Decisions
Using predictive analytics, you can ask, “What should we do?” and get recommendations based on past patterns and future predictions. For example, when predictive analysis indicates that sales may decline in the coming month, prescriptive analysis might recommend the following actions: Offering discounts or promoting marketing activities – acting like a wise advisor that guides decision making.
Data analytics Training in Delhi NCR- Course Curriculum
Topics Covered:
– Introduction to Excel: Interface, formulas, and functions
– Data Cleaning and Preparation: Remove duplicates, handle missing data, text-to-columns
– Pivot Tables and Pivot Charts: Summarizing data efficiently
– Advanced Functions: VLOOKUP, HLOOKUP, INDEX, MATCH, IF, COUNTIF, SUMIF
– Data Visualization: Conditional formatting, creating dashboards
Assignments:
1- Create a sales dashboard using pivot tables and charts
2- Clean and analyze a raw dataset (sales, customer data, etc.)
Topics Covered:
– Introduction to Databases and SQL
– CRUD Operations: SELECT, INSERT, UPDATE, DELETE
– Filtering and Sorting Data: WHERE, ORDER BY, LIMIT
– Aggregate Functions: COUNT, AVG, SUM, GROUP BY, HAVING
– Joins and Subqueries: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
– Window Functions: RANK, DENSE_RANK, ROW_NUMBER
Assignments:
1- Write queries to analyze customer purchase patterns
2- Perform joins on multiple tables to get insights into sales data
Topics Covered:
– Introduction to Descriptive and Inferential Statistics
– Measures of Central Tendency: Mean, Median, Mode
– Measures of Dispersion: Range, Variance, Standard Deviation
– Probability Basics: Types of probabilities, Bayes’ Theorem
– Hypothesis Testing: Null and alternative hypotheses, p-value, t-tests
– Correlation and Regression Analysis
Assignments:
1- Calculate key statistics for a given dataset (sales, customer feedback, etc.)
2- Perform hypothesis testing on business-related problems
Topics Covered:
– Introduction to Power BI: Interface, data loading, data transformation
– Building Visuals: Bar charts, line charts, scatter plots, maps
– Slicers and Filters: Interactive dashboards
– DAX Functions: Calculated columns, measures
– Publishing and Sharing Reports: Power BI Service
Assignments:
1- Create a business sales dashboard with key KPIs
2- Build a customer segmentation report using Power BI
Topics Covered:
– Introduction to Python: IDE setup, basic syntax
– Working with Libraries: Pandas, NumPy, Matplotlib, Seaborn
– Data Cleaning: Handling missing data, duplicates, and type conversion
– Exploratory Data Analysis (EDA): Visualizing distributions, correlations
– Basic Automation: Writing scripts to automate repetitive data tasks
Assignments:
1- Clean a messy dataset using Pandas
2- Perform EDA and visualize insights using Seaborn
Capstone Project:
– Choose from industry-relevant datasets (E-commerce sales, healthcare data, or financial data)
– Use Excel, SQL, Power BI, and Python to perform end-to-end analysis
– Present findings through a dashboard and a summary report
Career Preparation:
– Resume Building: Crafting a data-analyst-focused CV
– Portfolio Development: Hosting projects on GitHub
– Interview Preparation: SQL query practice, case studies, scenario-based questions
– Mock Interviews: One-on-one sessions with industry mentors
– Introduction to Data Storytelling: How to present insights to stakeholders
– Overview of Cloud Platforms: Basic intro to Google BigQuery and AWS for data storage
– Networking and Community: Join LinkedIn groups and online data communities
– Receive an industry-recognized certificate upon completion
– Showcase your capstone project and portfolio during a virtual graduation ceremony
By the end of this program, learners will be able to:
– Clean and analyze data using Excel and SQL
– Build interactive dashboards in Power BI
– Perform statistical analysis and hypothesis testing
– Use Python for data cleaning and visualization
– Present actionable insights clearly and confidently
Why Choose Our Data Analyst Training Institute in Delhi?
Whatever your background, our data analyst training in Delhi is ideal for those who want to pursue a career in analytics. This course will equip you with the skills you need to begin your data analysis journey, regardless of whether your background is in finance, mathematics, engineering, or business management.
The Data Analyst course we offer at Digital School of Delhi is designed to meet the needs of both college graduates and individuals currently in employment. Depending on your career goals and learning style, you can select particular modules and adjust the learning pace to suit your learning style
Capstone Project and Career Preparation in Data Analytics Course
Our data analyst course in Delhi includes a capstone project, where you will work with real datasets from various sectors such as e-commerce, healthcare, or finance. With this practical project, you will be able to use your knowledge of Excel, SQL, Power BI, and Python to complete the entire data analysis process.
Your tasks will include cleaning and analyzing data, uncovering insights, and presenting your findings through an interactive dashboard and a comprehensive summary report. This practical experience will help you build confidence and showcase your skills to prospective employers.
We provide CV creation assistance to aid your career development, and help you create a professional CV focused on data analytics that showcases your skills and projects.
Additionally, you’ll build a strong GitHub portfolio that will showcase your work to recruiters. We provide interview preparation sessions that include SQL query practice, case studies, and scenario-based questions to ensure you are fully prepared for job interviews.
We also offer mock interviews with experienced industry professionals, giving you the feedback and practical interview experience you need. With our comprehensive career support, you will be well prepared to find your desired position in data analytics.
Data Analytics Career Growth in Delhi
Due to the rapid expansion of Delhi’s tech sector, it is one of the top places to start a career in data analytics. Delhi, which is part of the National Capital Region (NCR) of India, boasts modern infrastructure and is developing as an important technology hub. Many leading companies like TCS, Infosys, Airtel, ICICI, HDFC, etc. are actively recruiting data analysts and business analytics experts.
There are many benefits of enrolling in a data analytics course in Delhi. The city has a rich community of tech firms and startups, offering unlimited opportunities for networking and collaboration. Studying in Delhi gives you direct access to industry resources, expert guidance, and internship opportunities – each of which can significantly boost your career.
By 2025, the demand for skilled data analysts in Delhi is still on the rise, as companies look for professionals capable of analysing data, revealing insights, and guiding business decisions. No matter what your level of experience is – a novice or a seasoned expert – establishing a career in data analytics in Delhi offers promising financial prospects and exciting employment options.
Career Progression in Data Analytics
1. Entry-Level (0-2 Years) – Data Analyst / Junior Data Analyst
Salary Range: ₹4 - ₹7 LPA (Varies based on skills, company, and certifications)
– Collect, clean, and analyze data using tools like Excel, SQL, and Power BI
– Generate reports and create dashboards to present insights
– Work with teams to support data-driven decisions
2. Mid-Level (2-5 Years) – Senior Data Analyst / Business Analyst
Salary Range: ₹8 - ₹15 LPA (Higher in fintech, e-commerce, and AI-driven companies)
– Perform advanced data analysis and predictive modeling using Python, R, and SQL
– Collaborate with stakeholders to improve business processes
– Develop interactive dashboards and automate reporting
3. Experienced (5-10 Years) – Data Scientist / Analytics Manager
Salary Range: ₹15 - ₹30 LPA (Depends on industry, expertise, and leadership skills)
– Lead data analysis projects and develop machine learning models
– Manage a team of analysts and optimize business strategies
– Work with big data platforms like Google BigQuery, AWS, and Hadoop
4. Leadership (10+ Years) – Chief Data Officer / Head of Analytics
Salary Range: ₹30 LPA+ (Can go up to ₹1 Cr+ in top MNCs and global firms)
– Define the data strategy for an organization
– Drive AI & data-driven decision-making at the executive level
– Oversee company-wide data projects and innovation
Data Analytics Course with Placement Assistance
In the current data-driven environment, where most businesses focus on hiring talented analysts, our Data Analytics course in Delhi NCR aims to prepare you for the job market. We don’t just train you; we also make sure you succeed. Our program is dedicated to providing 100% placement assistance and combines learning and earning by providing you skills in Excel, SQL, Power BI, Python, and advanced statistics that are at par with industry standards.
Our experienced faculty members provide specialized assistance in resume, job application and interview preparation during training. Students can also participate in mock interviews, which will boost their confidence and enhance their interview skills.
Our program for placement assistance aims to facilitate students’ seamless entry into the job market. Our careers support ensures each student is prepared for technical and practical interviews and builds an attractive CV, so that by the end of the course they are ready for the workforce.
We provide systematic training to help you find the ideal position in the rapidly growing field of data analytics, whether you are a recent graduate or an experienced professional looking to change careers.
Data Analytics Course Eligibility
The Data Analytics course is perfect for professionals who want to develop or advance their career in data analytics, as well as for beginners and recent graduates. This course aims to help you build your analytical capabilities, so you can be ready for the workforce of 2025 and beyond, regardless of your experience level.
Due to the growing demand for data analysts in sectors such as marketing, e-commerce, finance, healthcare, and information technology, businesses are actively looking for individuals with good data processing and visualization abilities. According to the 2023 Future of Jobs Report by the World Economic Forum (WEF), data analytics is a great career choice as it is one of the top 10 emerging employability skills.
General Requirements (Not Mandatory, But Preferred)
Bachelor’s Degree – Although not essential, a degree in a quantitative subject such as statistics, computer science, mathematics or commerce may be helpful. Although many employers prefer formal schooling, practical qualifications are often valued more highly.
Basic knowledge of statistics and mathematics – It would be beneficial to have a basic understanding of probability, trends and statistics as data analytics involves working with these ideas. But for those who are unfamiliar with this field, our course covers these basics.
Programming Skills (Optional) – Although programming in R or Python is beneficial, it is not a must. Even someone without any prior coding knowledge can learn efficiently thanks to our beginner-friendly programming classes at Data Analytics Training in Delhi.
Data Analytics Course: Online & Offline Learning Modes
Our online and offline learning modes for data analytics courses ensure flexibility for all learners. Whether you prefer the convenience of learning from home or the interactive experience of classroom training, we have the right option for you.
Online Data Analytics Course
Students and professionals who prefer self-paced, distance learning can benefit from our online data analytics courses. Courses include the following:
✔ Practical assignments and real-world projects
✔ Recorded sessions for flexible learning
✔ Live interactive lessons with knowledgeable professors
✔ Personal and doubt-clearing sessions
Offline Data Analytics Course (Classroom Training in Delhi NCR)
If you prefer a structured classroom environment, we offer offline training.
✔ One-on-one instruction from teachers.
✔ In-class assignments that provide hands-on experience.
✔ Networking opportunities with mentors and peers.
What is the benefit of a Data analytics course in Delhi?
Curriculum with an Industry Focus
In order to help participants master the fundamentals of management, Data Science methodology, and applications for data-based decision making, the programme blends academic elegance and business relevance.
Flexible Learning
Our programme offers the greatest degree of learning flexibility. Online classes allow you to learn while earning. We provide for sabbaticals, transfer situations, and the ability to catch up even if you have missed classes.
Hands-on Exposure
Utilizing Data Science and Analytics tools allows applicants to gain practical experience as a key component of the learning process.
Certificate
Participants who successfully complete the program will be awarded a degree certificate from Digital School of Delhi.
What makes us unique
Industry Experts
Effective online pedagogy
100% Placement Assistance
Real case based learning
Recorded Session
Frequently asked questions Related to Data analytics
What is the duration of the Data Analytics Course in Delhi NCR?
6 Months program with weekend and weekday batches for flexibility.
Is prior coding experience required?
No! We start from basics and focus on practical learning.
Do you provide placement support?
Yes – with our capstone project and career preparation we help you prepare your resume, take mock interviews.
What tools will I learn?
Excel, SQL, Power BI, Python, and advanced statistical techniques.
Can I attend online classes?
Yes – hybrid learning (online + offline) is available.