In this article, you will know the top 10 institutes that offer data science courses in Lucknow. Data Science is a new branch of science that combines mathematics, statistics, programming, analytics, artificial intelligence, and domain expertise to provide insights from structured and unstructured data. In recent years the demand for data science courses has increased considerably. It is now becoming part of day-to-day life. Data science is a dynamic field and new roles are emerging regularly. As per one of the reports, it is estimated that 11.5 million jobs (approximately) will be created by 2026 globally. A significant expansion in this field is observed in India.

 

DATA SCIENCE COURSES IN LUCKNOW

Let us begin with the top data science courses in Lucknow.

 

Recent Trends

The world witnessed technical layoffs in 2023 and the emergence of AI tools like ChatGPT which raised concerns about the future of data science. However, we have witnessed a growing demand for data science professionals across the globe. Python, Machine Learning, Natural Language Processing, Education, remote work, and cloud certification demand is increasing every day. In a survey published by Analytics India Magazine, it was expected that 93,500 jobs would be created nationwide in the data science domain alone in 2024.

 

Tools in Data Science

Data science professionals use a wide range of tools to perform their tasks. Some commonly used tools are Python, Pandas, NumPy, Scikit-learn, Jupyter Notebook, Matplotlib and Seaborn, SQL, Apache Spark, TensorFlow and PyTorch, Tableau, and Power BI.

 

Top 10 Data Science Courses In Lucknow With Placements

 

1. IIM SKILLS

IIM SKILLS is an ed-tech company that specializes in providing professional courses and certifications in digital form to leverage their career. The data science course is another addition to the courses offered by IIM SKILLS. They offer data science courses in Lucknow in an online form.

The course is an 11-month training program in data science which would be instructor-led. The course curriculum is designed by industry experts best suitable for beginners and working professionals. The course is designed to provide a fruitful and long career for the candidates.

Course Curriculum

 Statistics in Data Science

  1. Random Variable
  2. Probability
  3. Probability distribution
  4. SND
  5. Expected Value
  6. Sampling funnel
  7. Sampling Variation
  8. Central Limit Theorem
  9. Confidence Interval
  10. Linear Regression
  11. Logistic Regression
  12. Forecasting
  13. Time Series

Data Science (AL & ML)

 Machine Learning Concepts

Hypothesis Testing

Supervised Machine Learning

  1. Support Vector Machines (SVM)
  2. Linear Regression
  3. Logistic Regression
  4. K-Nearest Neighbors (KNN)
  5. Gradient Boosting Machines (GBM)
  6. Discriminant Analysis (e.g., Linear Discriminant Analysis, Quadratic Discriminant Analysis)
  7. Support Vector Regression (SVR)

Recursive Feature Elimination (RFE)

Model Validation Techniques

Parameter and Hyper Parameter Tuning

Ensemble Techniques (Bagging, Random Forest, Boosting)

Regularization Techniques

Naive Bayes

Forecasting

Unsupervised Machine Learning

Clustering Algorithms (e.g., K-Means, Hierarchical Clustering)

Dimensionality Reduction Techniques (PCA)

AI-Deep Learning

Multilayer Perceptron (MLP)

Neural Networks

CNN

RNN

Data Science Using SQL

 Basics RDBMS Concepts

  1. Schema – Meta Data – ER Diagram
  2. Looking at an example of Database design
  3. Data Integrity Constraints & types of Relationships (Primary and foreign key)
  4. Basic concepts – Queries, Data types & NULL Values, Operators and Comments in SQL

Utilizing the Object Explorer

  1. What is SQL – A Quick Introduction
  2. Installing MS SQL Server for Windows OS
  3. Introduction to SQL Server Management Studio
  4. Understanding basic Database concepts
  5. Getting started

Data Based Objects Creation (DDL Commands)

  1. Creating, Modifying & Deleting Database and Tables
  2. Drop & Truncate statements – Uses & Differences
  3. Alter Table & alter Column statements
  4. Import and Export wizard to get the data in SQL server from Excel files or delimited files

Data manipulation (DML Commands)

  1. Insert, Update & Delete statements
  2. Select statement – Sub setting, Filters, and Sorting. Removing Duplicates, grouping and aggregations, etc.
  3. Where, Group By, Order by & having clauses
  4. SQL Functions – Number, Text, Date, etc.
  5. SQL Keywords – Top, Distinct, Null, etc.
  6. SQL Operators – Relational (single-valued and multi-valued), Logical (and, or, not), Use of wildcard operators and wildcard characters, etc.

SQL Server Reporting Services

  1. Basics of SSRS
  2. Creating Parameters
  3. Understanding Visualization
  4. Creating Visualization using SSRS

SQL Server Integration Services

  1. Understanding the Basics of SSIS
  2. Understanding Packages
  3. Creating Packages to integrate
  4. Creating a Project using SSIS

Others

  1. Accessing Data from Multiple Tables Using SELECT
  2. Append and Joins
  3. Union and Union All (Use and Constraints)
  4. Intersect and except statements
  5. Table Joins – inner join, left join, right join, full join
  6. Cross Joins/Cartesian Products, Self Joins, Natural Joins, etc.
  7. Inline Views and Sub-queries
  8. Optimizing Your Work

Data Science Using Power BI

Introducing Power BI

  1. Introduction to Power BI
  2. Installing Power BI Desktop (Signup for Power BI)
  3. Various Options in Power BI Desktop
  4. Views in Power BI Desktop
  5. Template Apps
  6. Task pipeline when you’re working on a project

Data Preparation and Modelling

  1. Connect and Retrieve data from different sources (CSV, excel, etc.)
  2. Query editor in Power BI
  3. Power Query for cleaning the data
  4. Power Query Functions – Text, Date, Numeric
  5. Power Query Conditional Columns
  6. Clean & transform data (Query Editor)
  7. Define data granularity
  8. Combining data – Merging & Appending
  9. Fill Down in Power BI, Grouping, Transpose, Unpivot, Data Types, Replace errors and values

Keep, Remove, Add, and Remove Rows, and Go to Columns

  1. Work with relationships and cardinality
  2. Types of Relationships (1:1, 1: Many, Many: 1)
  3. Optimizing for performance
  4. PBIDS Files

Data Analysis Expressions (DAX)

  1. Introduction to DAX
  2. Calculated tables, Columns & Measures
  3. Time Intelligence in DAX
  4. Frequently Used DAX Functions in Real-time (Calendar Functions, Filter Functions, and Information
  5. Functions, Text Functions, Logical Functions, Math functions, Parent & Child functions etc..)

Reports Development (Visuals in Power BI)

  1. Introduction to work (Power BI visuals)
  2. Reports Development in Power BI
  3. Working with Different Visuals /Charts
  4. Formatting Options in Reports
  5. Use a slicer to filter visualizations
  6. Working with Filters (Page Level, Include/Exclude, Report Level, Cross report Filter)
  7. Download & use Custom Visuals from the Galary
  8. Add an R or Python visual
  9. Work with key performance indicators
  10. Project to implement the learning’s

Data Science Using Python

Introduction to Basic Statistics

Introduction to Mathematical Foundations

Introduction to Analytics & Data Science

Python Essentials (Core)

Operations with NumPy (Numerical Python)

Overview of Pandas

Cleansing Data with Python

Data Analysis Using Python

Basic Visualization Tools

Visualizing Geospatial Data

Data Visualization with Python

Advanced Visualization Tools

Statistical Methods & Hypothesis Testing

Data Science Using Tableau

Data Handling & Summaries

Data Handling & Summaries

Building Advanced Reports/ Maps

Table Calculations

Calculated Field

R For Data Science

 Data Importing/Exporting

Data Manipulation

Data Manipulation

Data Analysis

Data Visualization with R

Using R with Database

Introduction to Statistics

Linear Regression: Solving Regression Problems

Testing

Data Science Using Alteryx

 Alteryx course and fundamental concepts (An Overview)

Select tool to rename fields (Use), change the data type

Understanding the User Environment and Alteryx Settings

Remove from a data set

Understanding Alteryx Designer

Connect to data sources

Alteryx designer Interface

Set data field types

User and Workflow settings

Remove and rename fields

Filtering Data/Data processing

S Blending/Join Data from Different Sources

Filtering Using String Data

Find a customer (10 or more transactions)

Input Data, Rename (Dynamic), Text to columns, Transpose

Identify common data fields

See how all records fit the filter

Data Cleansing

Impute Values

Random Sample

Course Name: Data Science Master Course

Duration: 11 months

Course Fee: ₹ 99,900 + applicable taxes

EMI: Pay in 12 interest-free EMI, no processing fee

List of other Professional Courses from IIM SKILLS

Contact Details: 

Website: www.iimskills.com

Email ID: info@iimskills.com

Phone: +91 9580740740

 

2. 365 Data Science

365 Data Science is an online education provider that offers data science courses in Lucknow. The course is designed to upskill beginners and working professionals to achieve data science as a career. The course can be accessed online from anywhere with a good internet connection. Some of the features of the data science course offered by 365 Data Science are:

Customized learning path

Hands-on projects that boost your portfolio

Resume building

Helps in building your professional network

Course Curriculum

Module 1: Data Science Fundamentals

Introduction to Data and Data Science

Data Strategy

Data Literacy

Introduction Excel

Data Analysis with Excel Pivot Tables

Advanced Microsoft Excel

Statistics

Intro to ChatGPT and Generative AI

Data Analysis with ChatGPT

Probability

Mathematics

Introduction to Tableau

Power BI

Begin a Career in Data Science: Project Portfolio, Resume, and Interview Process

SQL for Data Science Interviews

Thinking like a Data Scientist to become one 

Module 2: Programming for Data Science

SQL

Advanced SQL

SQL + Tableau

Introduction to Jupyter

Introduction to Python

Python Programmer Bootcamp

Intermediate Python Programming

Git and GitHub

Introduction to R Programming

Complete Data Visualization Data with Python, R, Tableau, and Excel

Data Processing with NumPy

Data Cleaning and Preprocessing and Pandas

Dates and Times in Python

Working with Text Files in Python

Power Query and Data Modeling

Introduction to DAX

Building Business Reports Using Power BI 

Module 3: Machine and Deep Learning

Machine Learning in Python

The Machine Learning Process A-Z

The Machine Learning Algorithms A-Z

Machine Learning: A Deep Dive (Business Applications and Coding Walkthroughs)

Machine Learning with Naïve Bayes

Machine Learning with K-Nearest Neighbors

Machine Learning (Decision Trees and Random Forests)

Machine Learning with Support Vector Machines

Machine Learning with Ridge and Lasso Regression

ChatGPT for Data Science

Linear Algebra and Feature Selection

Deep Learning with TensorFlow 2

Convolutional Neural Networks with TensorFlow in Python

SQL + Tableau + Python

Machine Learning In Excel

Module 4: Advanced Specialization

Introduction to NLP for AI

Intro to LLMs

Communication and Presentation Skills (Analysts and Managers)

Python for Social Media Analytics

Data-Driven Business Growth

A/B Testing in Python

Growth Analysis with SQL, Python, and Tableau

Customer Churn Analysis with SQL and Tableau

Customer Engagement Analysis with SQL and Tableau

Sign-Up Flow Optimization Analysis (SQL and Tableau)

Fashion Analytics with Tableau

AI Applications for Business Success

Customer Analytics in Python

Credit Risk Modelling in Python

Time Series Analysis with Python

Web Scraping and API Fundamentals in Python

Python for Finance

Introduction to Business Analytics

Product Management for AI & Data Science

Data Analysis in Power BI with ChatGPT

Module 5: Business Specialization

Blockchain for Business

Project Management

Corporate Strategy

Marketing Strategy

Negotiation

Excel for Project Management

Agile and Scrum Project Management

Management

Persuasion and Influence

Course Name:  Data Science

Certification: Yes

Website: https://365datascience.com/

Do Not Miss:

 

3. AnalytixLabs

AnalytixLabs offers data science courses in Lucknow in an online mode. The course is offered in digital mode. It comprises 74 hours of instructor-led live training, 18 assignments, and close to 10 hours of self-study. Bootcamp, interactive live training sessions, and self-paced learning in digital mode are the features of the course.

Course Curriculum

Data Visualization and Analytics

Building Blocks

Data Analytics with Excel

Data Analytics with SQL

Data Visualization and Analytics with Tableau

Data Analytics with VBA (learning)

Data Science with Python

Python Essentials (Core)

Operations with NumPy (Numerical Python)

Overview of Pandas

Cleansing Data with Python

Data Analysis using Python

Data Visualization with Python

Basic Visualization Tools

Statistical Methods & Hypothesis Testing

R for Data Science (Optional e-learning) 

Machine Learning Course

Machine Learning & Text Mining

Predictive Modeling & Machine Learning

Text Mining using NLP

Data science using R (Optional)

Introduction to Artificial Intelligence (AI)

Introduction to Deep Learning

Artificial Neural Network

Introduction to Google Colab/Kaggle workbooks

Introduction to Cloud Computing

Introduction to ML Ops

Deployment of ML Model in the Cloud

Business Problem Understanding

Introduction to Industry & Functional Sessions

Marketing Analytics

Risk Analytics

Operations Analytics

Digital Analytics (Web Analytics)

Course name: Data Science

Certification: Yes

Website: https://www.analytixlabs.co.in/

A Few More Data Science Courses That You Should Explore Near You:

 

4. Scaler

Scaler is another ed-tech company that offers data science courses in Lucknow in digital form. The course is designed by industry experts and classes are conducted by experienced instructors. The course is ideal for those who are hungry for tech learning and looking for a fruitful career. The institute’s mission is to create world-class data science professionals who can leverage their careers. They offer mentorship from companies like Meta, Amazon, Google, Directi, and Microsoft.

Course Curriculum

MODULE – 1

Beginner Module – 4 Months

MODULE – 2

Data Analysis and Visualization – 4 Months

MODULE – 3

Foundations with Machine Learning and Deep Learning – 3 Months

MODULE – 4

Specializations – 3 Months

MODULE – 5

Machine Learning Ops – 1 Month

MODULE – 6

Advanced-Data Structures and Algorithms – 4 Months

Course name: Data Science

Certification: Yes

Website: https://www.scaler.com/

 

5. ExcelR

ExcelR is an ed-tech company that provides data science courses in Lucknow in an online mode. The training is instructor-led. The training is in interactive mode and live sessions. The course is designed to produce job-ready candidates in the data science domain. 160+ hours of training, live training, and internship are the main attractions of the course. As an add-on, they offer other services that help in building your career and transform you into a future leader.

Course Curriculum

Module 1 Statistical analysis

Module 2 Hypothesis testing

Module 3 Linear and logistic regression

Module 4 EDA

Module 5 Unsupervised ML Algorithms

Module 6 Machine Learning (Models)

Module 7 Neural network

Module 8 Bagging and boosting

Module 9 Text mining

Module 10 Forecasting

Core Python

Module 11 Introduction

Module 12 Variables

Module 13 Code Practice Platform

Module 14 Operators, Loops and String

Module 15 List, Tuples, and Dictionary

Module 16 Function & Modules

Module 17 Files & Directories

Module 18 Exception Handling

Module 19 OOP

Module 20 Regular Expressions

Module 21 SQLite and MySQL

Tableau

Module 22 Tableau Products and Usage

Module 23 Charts on Tableau

Module 24 Filters and Calculations

Module 25 Data Combining Techniques

Module 26 Grouping the Data

Module 27 Analytics & Dashboard

MySQL

Module 28 Introduction to Mysql

Module 29 SQL Commands

Module 30 DQL Operators

Module 31 Functions

Module 32 Constraints

Module 33 Joins

Module 34 SQL Concepts

Artificial Intelligence

Module 35 Introduction to ToNeural Network & DeepLearning

Module 36 Parameter & Hyperparameter

Module 37 CNN

Module 38 RNN

Big Data Tools

Module 39 Hadoop

Module 40 Spark & Data Bricks

Module 41 Azure

Basics of R

Module 42 R and RStudio

ChatGPT

Module 43 ChatGPT

Course name: Data Science Course

Certification: Yes

Website: https://www.excelr.com/

Explore These In-demand Data Science Courses Near You:

 

6. OdinSchool

OdinSchool is an upskilling platform that provides data science courses in Lucknow in digital form. The course offers boot camps that aim to refine the skills of candidates through live interactive classes. The trainers are proven industry experts with extensive experience in data science. The course is of 6 months duration. The candidates are offered placement assistance for a smooth transition from training to real-world work scenarios.

Course Curriculum

Core Modules

SQL Basics

Advanced Excel

Statistics

Integrative Analysis Using SQL, Advanced Excel, and Statistics (Mini Capstone)

Power BI Fundamentals

Python

Power BI Automate, AI Builder, and Dataflows

Microsoft Dataverse and Microsoft Fabric

Capstone Project

Machine Learning

Deep Learning

Generative AI

Bonus Modules

Storytelling

SQL Extra Resources

Snowflake

Databricks

GPT

Azure Data Factory

NLP

Deep Learning

R

PySpark

Career Acceleration Skills

Communication Skills

Learning How to Learn

Confidence Doubler

Emotional Intelligence Mastery

Turn Clockwise – A Time Management Adventure

Problem solving aka Design Thinking

Course name: Data Science Course

Certification: Yes

Website: https://www.odinschool.com/

 

7. Dataquest

Dataquest is a project-based e-learning provider that offers a wide range of courses in digital form. They offer data science courses in Lucknow. The course aims to make candidates experts in Python, SQL, Excel, Power BI, Tableau, and data analysis. The course is designed to upskill and leverage the trainees in the work environment.

Course Curriculum 

Part 1: Python Introduction

Introduction to Python Programming

Basic Operators and Data Structures in Python

Python Functions and Jupyter Notebook

Intermediate Python for Data Science

Part 2: Data Analysis & Visualization [3 courses]

Part 3: Data cleaning [3 courses]

Part 4: The Command Line [2 courses]

Part 5: Working with Data Sources Using SQL [6 courses]

Part 6: APIs and Web Scraping in Python [2 courses]

Part 7: Probability and Statistics [5 courses]

Part 8: Machine Learning (Python) [9 courses]

Part 9: Deep Learning in Python [1 course]

Part 10: Advanced Topics in Data Science [3 courses]

Course Name: Data Scientist

Certification: Yes

Website: https://www.dataquest.io/

 

8. NIIT

NIIT is an ed-tech company that offers data Science courses in Lucknow in digital form. The training is provided by well-experienced industry experts. The course is designed to produce job-ready candidates in the data science domain. The course is the right blend of study material and assignments. Personalized progress reviews and feedback are special features of the course. Their internship programs will give you real-world exposure.

Course Curriculum

Data Analytics Using Excel

Analytics using SQL

Introduction to Programming using Python

Python for Data Science

Exploratory Data Analysis

Exploratory Data Analysis using Tableau

Story Telling using Tableau

Statistics using Python

Predictive Modelling using Machine Learning

Capstone project

Course Name: Professional Program in Data Science with GenAI

Certification: Yes

 

9. DataMites

DataMites is one of the leading ed-tech companies that offers specially designed data science courses in Lucknow for beginners and professionals in digital form. The main objective of the institute is to create rewarding career opportunities for the candidates. The course is a nice blend of live classes and assignments. The faculties are from top corporate and Fortune 100 companies.

Data Science Courses Curriculum

  1. Data science foundation – 8 modules
  2. Python foundation – 6 modules
  3. Statistics Essentials – 5 modules
  4. Machine learning associate – 8 modules
  5. Machine learning expert – 12 modules
  6. Advanced data science – 8 modules
  7. Database: SQL and Mongo dB – 7 modules
  8. Version control with GIT – 6 modules
  9. Big data foundation – 6 modules
  10. Certified BI Analyst – 6 modules

Certification: Yes

Website: https://datamites.com/

 

10. Intellipaat

Intellipaat is a renowned ed-tech company that does not need any introduction. They offer data science courses in Lucknow in an online mode with the sole motive of leveraging the career of its candidates. The course comprises more than 50 hours of live sessions, and 200 hours of self-paced videos, projects, and assignments. They have an internship program and job placement services as well. The trainers are from IITs and industry practitioners. Mentorship and resume building are also offered for a smooth transition from training to work environment.

Course Curriculum

Course 1: Linux and Python

Course 2: Data wrangling with SQL

Course 3: Python with Data Science Course (Data Visualization, Data Mining, Data Interpretation)

Course 4: Linear Algebra and Advanced Statistics

Course 5: Machine Learning and Prediction Algorithms

Course 6: Learning in ML (Supervised and Unsupervised)

Course 7: Tools in Data Science (Power BI, Tensorflow, and SciPy)

Course 8: Deep Learning

Course 9: Deploying Machine Learning Models (Cloud)

Course 10: Data Analysis with MS-Excel (Self-Paced)

Course name: Data Science Course

Certification: Yes

Website: https://intellipaat.com/

 

Most Frequently Asked Questions

What is the future of jobs in the data science domain?

Data science is a relatively new field, and the scope for job opportunities is huge in the future. The requirement for data science professionals is ever-increasing globally. The candidates can find job opportunities not only in India and abroad. Companies are looking for professionals who can identify trends and patterns that will help them stay updated and afloat.

What are the minimum qualifications for joining this course?

The candidate should have completed graduation in computer science, mathematics, science, engineering, or related fields.

What salary can I expect after completing data science courses in Lucknow?

The salary would depend on industry, sector, experience, company size, and skillset. However, you can expect a starting salary of 4.5 lacs per annum as a fresher. Data science professionals with experience of 4 years are earning more than 9 lacs per annum on average.

 

Conclusion

There is no denying the fact that job opportunities in the data science domain are rising every day in the manufacturing, healthcare, finance, and engineering fields. Institutes listed above offer data science courses in Lucknow that will equip students with skillsets and exposure to real-world work scenarios.

The candidates from Lucknow will get job opportunities not only in Lucknow but also in the rest of India in the public and private sectors. The rising demand for data scientists has given hope and opportunities for candidates from Lucknow as well.

In a nutshell, we can say that the future of data science courses in Lucknow looks very promising.

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