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Data Analytics

Why Choose Intilaq Technologies

ISO 9001:2015 Certified Institution

🔹 Intilaq Technologies Pvt Ltd is an ISO 9001:2015 Certified IT Training & Internship Institution, delivering globally accepted standards in education, training, and career development. Our certification reflects our commitment to quality management, student satisfaction, and continuous improvement across all departments.

Professionally Experienced Trainers

🔹 Learn from industry experts who bring real-world knowledge, hands-on expertise, and years of professional experience to every session. Our trainers ensure you gain the technical depth and practical skills needed to stand out.

Hands on Experience

🔹 We provide hands-on experience along with long-term assistance, ensuring learners receive continuous support even after course completion to build a strong and successful career.

100% Placement Support

🔹 At Intilaq Technologies, we proudly offer 100% Guaranteed Placement upon the successful completion of training and internship, ensuring every learner steps confidently into their professional career.

One to one Mentorship

🔹 We offer 150+ hours of one-to-one personal mentorship, ensuring every learner receives individual guidance, continuous support, and focused skill development throughout the training journey.

Soft skill and Interview preparation Class

🔹We provide daily interview preparation, including soft-skill training and mock interviews, to build confidence and ensure our learners are fully job-ready.

Top-quality IT training at the most competitive and affordable course fees

🔹 We provide top-quality IT training at the most competitive and affordable course fees, ensuring every student gains access to premium education without financial barriers.

Data Analytics Course Content

Syllabus:

  • Excel interface, formatting, data types
  • Functions: Text, Logical, Lookup
  • Aggregation: SUM, COUNT, AVERAGE, IF variants
  • Pivot Tables, Charts, Conditional Formatting
  • Dashboards (basic level)
  • Joins, Subqueries, Set Operators
  • Triggers, Views, Stored Procedures
  • Practice in MySQL/PostgreSQL
  • Variables, Data Types, Operators, Control Flow
  • Functions, Lists, Tuples, Dicts, Sets
  • Descriptive Stats: Mean, Median, Variance, Std Dev
  • Trend Analysis, Probability Basics
  • Normal & Binomial Distribution
  • Permutations & Combinations
  • Joins, Subqueries, Set Operators
  • Practice in MySQL/PostgreSQL
  • Triggers, Views, Stored Procedures

Python Programming (Core)

  • Variables, Data Types, Operators, Control Flow
  • Functions, Lists, Tuples, Dicts, Sets
  • Mini Project #2: Student Management System (SQL + Python queries -Personal Builds)

Python for Analytics + Power BI

  • Product Sales Dashboard using Python + Power BI
  • (Personal Builds)
  • NumPy: Arrays, Math operations
  • Pandas: Data Frames, Cleaning, Merging, Grouping
  • Visualization: Matplotlib, Seaborn

Python for Data Analysis Machine Learning Concept Power BI Essentials

  • Data connection: Excel, CSV, SQL Server
  • Modelling, Visuals, Filters, DAX basics
  • Dashboards & Publishing
  • Supervised learning – Linear Regression, Logistics
  • Regression, Decision Tree, Random forest, KNN,
  • Boosting Algorithm, SVM, KFold, Naive Bayes
  • Unsupervised Learning – KMeans, Hierarchical Clustering, PCA

Power BI Essentials

  • Data connection: Excel, CSV, SQL Server
  • Modelling, Visuals, Filters, DAX basics
  • Dashboards & Publishing

Tableau + Advanced Analytics + Git

Connecting to data, Visuals: Bar, Map, Heatmap Parameters, Calculated Fields Story Points, Forecasting, Clustering

Tableau Fundamentals Advanced Analytics

  • Time Series Forecasting, Outlier Detection
  • ML Intro: Linear Regression, K-Means Clustering
  • Power BI vs Tableau comparison
  • Git basics: clone, commit, push, pull
  • Version control for notebooks and dashboards
  • Using GitHub for project collaboration
  • Variables, Data Types, Operators, Control Flow
  • Functions, Lists, Tuples, Dicts, Sets
  • Mini Project #2: Student Management System (SQL + Python queries -Personal Builds)
  • Product Sales Dashboard using Python + Power BI
  • (Personal Builds)
  • NumPy: Arrays, Math operations
  • Pandas: Data Frames, Cleaning, Merging, Grouping

Visualization: Matplotlib, Seaborn


  • Data connection: Excel, CSV, SQL Server
  • Modelling, Visuals, Filters, DAX basics
  • Dashboards & Publishing
  • Supervised learning – Linear Regression, Logistics
  • Regression, Decision Tree, Random forest, KNN,
  • Boosting Algorithm, SVM, KFold, Naive Bayes
  • Unsupervised Learning – KMeans, Hierarchical Clustering, PCA
  • Data connection: Excel, CSV, SQL Server
  • Modelling, Visuals, Filters, DAX basics
  • Dashboards & Publishing

Connecting to data, Visuals: Bar, Map, Heatmap Parameters, Calculated Fields Story Points, Forecasting, Clustering

  • Time Series Forecasting, Outlier Detection
  • ML Intro: Linear Regression, K-Means Clustering
  • Power BI vs Tableau comparison
  • Git basics: clone, commit, push, pull
  • Version control for notebooks and dashboards
  • Using GitHub for project collaboration

Future-Tech Careers

Data Analyst | Business Data Analyst | Sales Data Analyst | Analytics Consultant | Healthcare Data Analyst | Product Data Analyst | Supply Chain Data Analyst

FAQ

  •  Individual attention.
  •  100% placement assistance.
  •  Experienced faculties.
  •  Liberal fees structure.
  •  We are following globally accepted syllabus.

As a starting point what we find works well is a data discovery workshop to understand the quantity and quality of the data you hold, where it is stored and what important business questions you would like answered.

Secondly, join forces with a data partner. For example, Intilaq has a team of data scientists who work on outsourced analytics projects, including consultancy, proof of concepts, developing visualisations and Power BI Dashboards. Alternatively, we can add skill sets to your in-house technical team.

  • Almost every student who is studying here are getting placed.
  • We are having so many client companies at infopark and technopark.
  • We offers grooming section for our students with our experts for getting idea on how to attend an interview.