Data Analytics Course

Top 5 Institutions That Provide the Best Data Analytics Course in Delhi

Delhi, NCR, is widely considered the heart of India. Thus, it offers a successful business environment apart from functioning as a hub for exceptional education. Moreover, as the demand for proficient data analysts grows across sectors like Finance, E-commerce, IT, and Healthcare, the Data Analytics course in Delhi has become an outstanding choice for those seeking opportunities in the IT field.

Rexton IT Solutions offers a comprehensive Data Analytics course certification. Furthermore, the extensive practical training includes live simulation and projects. Likewise, such a detailed Data Analytics course has guided students to secure their jobs in various MNCs.

Our expert and experienced tutors are subject specialists and corporate professionals, providing in-depth knowledge and study in the Data Analytics course in Noida. Candidates completing the Data Analytics certification have a direct excess of job opportunities in the IT industry!

Nevertheless, in this blog, we will discuss the top institutes that provide top-notch Data Analytics courses with their syllabus breakdown. So, let’s get started with the blog.

List of Top Data Science Institutes in Delhi

If you are searching for the best and most competitive range Data Science course Noida with a placement guarantee, you are in the right section. Here, we have provided a table where you can learn about the top institutes, including their training delivery types, established year, fees, and placement guarantee.

Name	Training Type	Offering Course Since	Fees	Placement
Rexton IT Solutions	Online and Offline	2015	–	100%
Skill Circle	Online	2016	NA	100%
IIM Skills	Online and Offline	2015	Rs. 49,900 Excluding GST	100%
Analytixlabs	Online	2011	Rs. 1,39,900 Excluding GST	100%
Jee Tech Academy	Online and Offline	2009	Affordable Fees	100+ Placement Partners

1. Rexton IT Solutions

Rexton IT Solutions is the leading provider of the best Data Analytics course in Noida. Our wide range of courses is regularly curated and updated by our team. To ensure complete course knowledge, we incorporate insights and suggestions from experienced professionals representing organizations throughout Asia.

Furthermore, we offer an advanced-level training program designed to establish your career in Data Analytics. Likewise, it’s time to get engaged in Data Analytics assignments and projects spanning statistics, Advanced Excel, Deep Learning, SQL, Advanced Machine Learning, Tableau, and Python Libraries. Therefore, we have outlined our syllabus breakdown for the Data Analytics course in Delhi.

Module / Topic	Key Topics Covered
Fundamentals	What is Data Analytics Data structures, types of data (numeric, categorical, etc.) Role of analytics in business Data collection sources Basics of statistics: mean, median, mode, dispersion, etc.
Excel	Data entry & formatting Functions and formulas Pivot tables / Pivot charts Data cleaning (removing duplicates, handling missing data) Basic visualization (charts, conditional formatting)
SQL	Database basics (tables, relationships, keys) CRUD operations (Create, Read, Update, Delete) Joins, subqueries Aggregations (GROUP BY, HAVING) Filtering, sorting, limit/offset, etc.
Python	Python basics (syntax, data types, control structures) Libraries for analytics (NumPy, Pandas) Data manipulation (cleaning, missing values, outliers) Exploratory Data Analysis (EDA): summary statistics, plotting, correlation, etc.
Data Preprocessing & Cleaning	Handling missing data, outliers, and duplicates Data normalization/scaling Data transformation (e.g., log transform, encoding categorical variables) Feature engineering/selection
Exploratory Data Analysis (EDA)	Visualizations (histograms, boxplots, scatterplots, heatmaps) Identifying trends, correlations, patterns Univariate and multivariate analysis Dealing with skewness, outliers
Data Visualization / BI Tools	Tools: Power BI, Tableau Dashboard creation Interactive visualizations, filters, drill-downs Storytelling with data
Machine Learning Basics	Supervised learning: regression (linear, logistic), classification Unsupervised learning: clustering (e.g., K-Means) Model evaluation: accuracy, precision, recall, ROC/AUC, etc. Overfitting, underfitting, cross-validation
Advanced Topics / ML	More complex algorithms (decision trees, random forests, maybe ensemble methods) Possibly neural networks or deep learning introduction (if offered) Time series forecasting (if included) Handling big data/cloud tools (if applicable)
Big Data & Cloud (If applicable)	Working with large datasets Cloud platforms/storage Tools/frameworks for big data (Hadoop, Spark, etc.) Note: depending on the course version, this may or may not be included.
Capstone / Project Work	Real-world case studies/projects End-to-end project: from data collection → cleaning → modelling → visualization → presentation Possibly interview preparation, resume & portfolio building

2. Skill Circle

Skill Circle covers fundamental principles, such as data exploration and data gathering. Furthermore, by using advanced tools, such as SQL and Python, you will gain proficiency in data analysis and manipulation. Additionally, you will learn precise knowledge about transforming raw data into compelling, interesting, engaging, and visually appealing narratives.

You can create interactive dashboards with Power BI that will help you convey intellectual insights effectively. Skill Circle is an excellent choice for the Data Science course in Noida. Here is the course syllabus breakdown:

Module / Topic	Sub-topics Covered
Introduction to Data Analytics	What is Data Analytics What is Data Science Applications & impact in various industries Benefits of Data Analytics for Businesses
Data Analytics with Excel	Excel basics Data formatting Data calculations Data automation Sorting & filtering
Excel Data Functions	IF functions COUNTIF, SUMIF VLOOKUP etc.
Tables & Dashboarding (in Excel)	Pivot tables Charts Dashboard creation Data analysis using pivot tables and visual elements
Statistics for Data Analytics	Variables (Qualitative, Quantitative) Population & Sampling Descriptive statistics (central tendency, dispersion, etc.)
Inferential Statistics	Hypothesis testing Methods: T-test, Z-test, Chi-square test ANOVA etc.
Probability	Basics of probability Common probability distributions Central Limit Theorem, etc.
Python for Data Analytics	Intro & Intermediate Python syntax, variables, operators, data types Flow control (if-else, loops), functions, lambda/map/filter/reduce Advanced OOPs (classes, inheritance, etc.) File handling, exceptions
Exploratory Data Analysis (EDA)	Libraries & modules for EDA Import/export data Data from web sources Introduction & use of Numpy Array handling & operations Pandas: Series & DataFrame, indexing, selection, filtering, etc. Working with missing data, merging/joining, data cleaning & preprocessing
Data Visualization	Importance/concepts of visualization Visualizing with tools/libraries (Python, Pandas, etc.) Maps / Geo-spatial visualizations Dashboarding & reports (Power BI, etc.)
SQL (MySQL / other SQL tools)	Introduction to databases and SQL Basic queries (SELECT, WHERE, etc.) CRUD operations Aggregation, GROUP BY Joins, subqueries Table relationships, possibly constraints, etc.
Power BI	Introduction to Power BI & data sources Data modeling DAX basics, measures & calculated columns Visualization, interactivity (filters, slicers) Building reports & dashboards and sharing them, etc.
Capstone Projects	10+ projects across industries: BFSI, FMCG, Healthcare, Automobile, Entertainment, etc. Live / industry-relevant data sets to apply skills learned.

3. IIM Skills

IIM Skills is one of the leading institutes to learn and gaining advanced skills. Furthermore, the government has recognized this institution as one of the best places for a data analytics course in Delhi. Likewise, they offer a complete course, providing a full package of practical learning.

Additionally, they provide high-level knowledge through hands-on projects that play an imperative role in developing candidates, along with portfolios that help them enter the industry with confidence.

Module / Area	Topics Covered
Foundation to Data Analytics	Basics of Data Analytics, Intro to data sources, collection, cleaning, processing, fundamentals & terminology.
Advanced Excel	Advanced functions, pivot tables, charts, dashboards, etc.
SQL	SQL queries, relational databases, joins, filtering, aggregations, etc.
VBA	Automating Excel tasks, macros, and scripting in Excel.
Power BI	Data visualization: dashboards, BI reports.
Python	Using Python for data manipulation, possibly libraries like Pandas and NumPy.
Tableau	Visual analytics, interactive dashboards using Tableau.
R for Data Science	R language fundamentals, statistical computing, and analysis in R.
Alteryx	Data preparation / automation / blending using Alteryx.
Projects / Case Studies	Multiple live projects & case studies, such as sales performance dashboards, retail trends, HR analytics, and relational databases and dashboards.
Job Readiness	Resume building, mock interviews, interview skills, communication & critical thinking, corporate behavior skills.

4. Analytixlabs

If you are looking for the best training institutes for delivering data analytics courses in Delhi, Analytixlabs is one of the exceptional institutes you can choose. Since 2011, this institute has been offering a wide range of Data Science courses and is considered a trusted training program in Delhi, Noida, Bangalore, and Gurgaon.

Moreover, filled with well-experienced and expert faculties, Analytixlabs provides credible certifications around the world.

Module / Term	Key Topics Covered
Orientation & Foundations	Introduction to Data Analytics: Business problems & problem-solving frameworks Foundations: Basic Mathematics & Statistics Fundamentals of Programming (core Python basics) Overview of tools: Excel, Power BI, SQL, etc.
Business Intelligence & Visualization	Excel & Power BI: data analysis, reports, dashboards Data Visualization concepts, tools like Power BI, Tableau
Exploratory Data Analysis & Data Management	SQL / Database (RDBMS, ETL, SQL on Cloud) Data cleaning, manipulation, and exploratory visualization (Excel / Python)
Statistical Analysis & Modeling	Descriptive & inferential statistics Predictive modeling: Linear & Logistic Regression Application in different industries/functions (marketing, risk, operations, etc.)
Python for Analytics	Core Python, relevant packages (e.g., Pandas, NumPy) Visualization using Python libraries, modeling, etc.
Capstone / Project Work + Placement Readiness	End-to-end Analytics or Data Analytics project pipeline, including requirement gathering, documentation, and business use case Mock interviews, resume prep, career guidance

5. Jee Tech Academy

Jee Tech Academy is considered one of the top data science institutes providing the best Data Analytics course in Noida. Moreover, their best-selling courses are Data Science, Ethical Hacking, Digital Marketing, and Artificial Intelligence.

Since 2009, this institute has been recognized as a highly reliable training organization, with trained and experienced professionals, and more than 33500 alumni. Nonetheless, here is the Data Analytics syllabus breakdown:

Topic / Module	Key Subtopics
Fundamentals of Data Analytics	Definitions, Role of a Data Analyst, Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive), Data lifecycle (collection → cleaning → analysis → visualization)
Statistics & Probability	Hypothesis testing, Regression analysis, Descriptive & inferential statistics, Probability distributions, Sampling, Measures of central tendency & dispersion
Excel & BI Tools	Advanced Excel (modeling, data cleaning, formulas), BI tools (Tableau, Power BI) for dashboards & reports
Programming & Libraries	Python / R basics, Libraries like NumPy, pandas, Manipulating & wrangling data, Data cleaning & preprocessing
Data Visualization	Visualizing data using BI tools and code (Python/R), Storytelling through visuals, Interactive dashboards, Custom visuals
SQL, Databases & Data Extraction	Querying databases, Joins, Subqueries, Extracting data, Use of SQL in analytics workflows
Machine Learning & Predictive Analytics Basics	Basic model building, Regression, Classification, maybe time-series forecasting, etc.
Projects and Practical Exposure	Live / industry case-studies, hands-on projects, Data cleaning, visualization, model building applied on real datasets
Soft Skills & Placement Prep	CV preparation, Mock interviews, Communication & critical thinking (as related to analytics)

It’s Time To Wrap Things Up!

If you are searching for the best institute that offers a higher-level Data Science course in Noida, look no further than Rexton IT Solutions. We offer a wide range of Data Science courses, each with a recognizable certification and a 100% placement guarantee.

Thus, our team of expert and skilled tutors is here to guide you from scratch to advanced-level. Whether you want to clear your doubts or are curious about your course, we are here to guide you in every step of your entire course period. So, what are you waiting for? Sign up for our course today!