Master
Data Science Courses In Indore
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
TOP 12 BEST DATA SCIENCE COURSES IN INDORE
Welcome to our list of the Top 12 Data Science Course Institutes in Indore!
Indore is the largest and most populous city in the Indian state of Madhya Pradesh. It is consistently ranked as the cleanest city in India. It is known for its rich culture, historical charm, and modern development. Famous for its delectable street food, it offers a culinary delight for every palate.
Indore boasts impressive architectural wonders like the Rajwada Palace and the Lal Bagh Palace, showcasing its royal history. The city’s bustling markets, such as Sarafa Bazaar, draw locals and tourists alike with their lively atmosphere and diverse goods.
It is also considered the state education hub and houses campuses of both the Indian Institute of Technology and the Indian Institute of Management.
With a burgeoning IT sector, Indore provides ample job opportunities, especially in data science, attracting young professionals. Its warm hospitality and a blend of tradition with modernity make Indore a captivating destination.
This article will talk about the Top 12 Data Science Courses in Indore, why these courses are important, and the benefits of taking them in Indore, India so let’s start
Comparison Chart: Top 12 Data Science Courses in Indore with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Indore, then you have come to the right place.
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform- Digital Career Academy | Online & Offline | 2013 | INR 30k-90k | 100% |
| 2 | IOTA ACADEMY | Online & Offline | 2011 | INR 57,500 | 100% |
| 3 | LIVEWIRE | Online & Offline | 2017 | INR 56,000 | 100% |
| 4 | Bignalytics | Offline | 2020 | INR 47,999 | 100% |
| 5 | IANT Indore | Online & Offline | 2012 | INR 60,000 | 100% |
| 6 | Boston Institute of Analytics | Online & Offline | 2000 | INR1,55,000 | 100% |
| 7 | ExcelR | Online | 2016 | INR 85,000 | 100% |
| 8 | Data Trained | Online | 2012 | INR1,60,000 | 100% |
| 9 | Apponix Academy | Online & Offline | 2013 | INR 30,000 | 100% |
| 10 | StarAgile | Online | 2016 | INR 59,999 | 100% |
| 11 | Datamites | Online | 2018 | INR 67,178 | 100% |
| 12 | WsCube Tech | Online | 2010 | INR 29,500 | 100% |
What is Data Science and its Importance?
Data science involves studying data using advanced tools, algorithms, and methods to analyze extensive datasets. Once data is collected, actions are taken based on insights from both structured and unstructured data, informing crucial business decisions. Data for analysis in this field can come in various formats and from diverse sources. Pursuing a career in data science is accessible, whether you have a scientific, business, or financial background. Even without technical training, success in this field is achievable.
The importance of Data Science is immense. It helps businesses understand what customers like and want, making shopping easier for us. It’s the reason our favorite apps seem to know exactly what we need. Beyond that, Data Science aids doctors in finding patterns in health data, leading to better treatments and medicines. In essence, Data Science is our digital ally, turning heaps of data into valuable insights that enhance our lives in ways we might not even realize.
Top 12 Data Science Courses in Indore
1. Digiperform
Digiperform stands out as India’s largest training provider, specializing in digital skills. Our comprehensive course curriculum is meticulously crafted by a team of over 50 experts hailing from the Data Science industry. We actively seek input and suggestions from 450 innovative businesses across Asia to ensure our courses stay ahead of industry trends.
Our curriculum is thoughtfully designed to encompass the skills required for roles in both small and large Data Science agencies, as well as companies with in-house Data Science teams. At Digiperform, we prioritize a hands-on learning approach, combining practical exercises, research, and assignments to provide you with a well-rounded and practical learning experience.
Why Choose Digiperform Online Data Science Course?
Choosing Digiperform’s Online Data Science Course is a smart move for several reasons. We offer a user-friendly learning experience crafted by industry experts, ensuring you grasp complex concepts easily. Our course is designed based on feedback from 450 businesses, guaranteeing its relevance in the ever-evolving digital landscape.
With a hands-on approach, we blend practical work, research, and assignments to provide a well-rounded learning journey. Whether you’re from a science, business, or non-technical background, our course is tailored for your success. Join us to unlock the world of data science and embark on a rewarding learning adventure!
Data Science Online Course: Advantages
Embarking on a Data Science Online Course offers numerous advantages. Flexibility is a key perk, allowing you to learn at your own pace from anywhere in the world. The curriculum, designed by industry experts, ensures practical relevance, and the hands-on approach equips you with real-world skills.
Access to a vast array of resources and the ability to interact with a diverse online community enhances the learning experience. Whether you come from a technical or non-technical background, this course opens doors to a world of opportunities, making the complex field of data science accessible and rewarding. Elevate your skills with the convenience of online learning!
Data Science Course Syllabus
Module 1: Introduction to Data Science | Introduction to the Industry & Buzzwords Industrial application of data science Introduction to different Data Science Techniques Important Software & Tools Career paths & growth in data science |
Module 2: Introduction to Excel
| Introduction to Excel- Interface, Sorting & Filtering,
Excel Reporting- Basic & Conditional Formatting
Essential Excel Formulae
Layouts, Printing and Securing Files |
Module 3: Introduction to Stats
| Introduction to Statistics & It’s Applications Different types of Data Population vs Sample Sampling Techniques Intro: Inferential vs. descriptive statistics |
Module 4: Descriptive Stats Using Excel Datasets | Categorical Variables Visualization Using Excel Charts- FDT, Pie Charts, Bar Charts & Pareto Numerical Variables Visualization of Frequency & Absolute Frequency- Using Histogram, Cross Table & Scatter Plot Measure of Spread ( Mean, Mode , Median) Measure of Variance( Skewness, SD, Variance, Range, Coef. Of Variance, Bivariate Analysis, Covariance & Correlation) |
Module 5: Inferential Stats Using Excel Datasets | Introduction to Probability Permutation & Combinations Types of events Normal distribution Standard Normal distribution Normal vs. Standard Normal distribution Confidence Intervals & Z-Score Hypothesis Testing & It’s Types |
Module 6: Database Design & MySQL | Relational Database theory & Introduction to SQL MySQL Installation Database Creation in the MySQL Workbench Querying in MySQL Joins and Set Operations SQL Practice Case Study Window Functions Case Statements, Stored Routines and Cursors Ø Query Optimisation and Best Practices Ø Problem-Solving Using SQL |
Module 7: Data Visualization Using Advanced Excel
| Introduction LOOKUP functions Pivot Tables WHATIF Analysis Dashboard Creation Recording Macros Advanced Visualizations- PIVOT Charts, Sparklines, Waterfall Charts Data Analysis ToolPak – Regression in Excel |
Module 8: Data Visualization Using Tableau | Introduction to Tableau Introduction What is Data Analytics? Why Data Visualisation? What is Tableau? Why Tableau? Tableau vs Excel and PowerBI Exploratory and Explanatory Analysis Getting started with Tableau Visualizing and Analyzing data with Tableau – I Introduction Bar Charts Line Charts and Filters Area Charts Box plots and Pivoting Maps and Hierarchies Pie Charts Treemaps and Grouping Dashboards Visualizing and Analyzing Data with Tableau – II Introduction Joins and Splits Numeric and String functions Logical and Date functions Histograms and parameters Scatter Plots Dual Axis Charts Top N Parameters and Calculated Fields Stacked bar Charts Dashboards – II and Filter Actions Storytelling Summary |
Module 9: Python Programming
| Installing Anaconda & Basics of Python Introduction to programming languages Compiler vs Interpreter Getting Started With Python Introduction to jupyter Notebooks Identifiers, Keywords Print function Comment, Indentation Data Types Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions Data Structures in Python Introduction Lists Tuples Sets Dictionaries Practice Exercise Summary Operator Input and Output Different Arithmetic , logical and Relational operators Input, Output function Eval function Format Function Control Flow If elif else statement For and while loops Break , continue and Pass statement List and dictionary comprehensions Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions File Handling Purpose of file handling Different function in file handling (open,read, write,close) Different modes (r,w,a,r+,w+,a+) With block Exception Handling, OOPX & Regex What is exception handling Try, except, else and finally block Different types of Exception Concept of Oops Different functions in Regex Metacharacters in Regex |
Module 10: Python For Data Science | NumPy Introduction to NumPy Basics of NumPy Operations Over 1-D Arrays Practice Exercise I Multidimensional Arrays Creating NumPy Arrays Mathematical Operations on NumPy Mathematical Operations on NumPy II Computation Times in NumPy vs Python Lists Practice Exercise II Pandas Introduction to Pandas Basics of Pandas Pandas – Rows and Columns Describing Data Indexing and Slicing Operations on Dataframes Groupby and Aggregate Functions Merging DataFrames Pivot Tables Practice Exercise |
Module 11: Data Visualization Using Python- Matplotlib & Seaborn
| Introduction to Data Visualisation with Matplotlib Introduction to Matplotlib The Necessity of Data Visualisation Visualisations – Some Examples Facts and Dimensions Bar Graph Scatter Plot Line Graph and Histogram Subplots Choosing Plot Types Summary Data Visualisation: Case Study Introduction Case Study: Mind Map Case Study Overview Data Handling and Cleaning: I Data Handling and Cleaning: II Sanity Checks Outliers Analysis with Boxplots Histograms Summary Practice Questions Data Visualization with Seaborn Introduction Distribution Plots Styling Options Pie – Chart and Bar Chart Scatter Plots Pair Plots Revisiting Bar Graphs and Box Plots Heatmaps Line Charts Stacked Bar Charts Case Study Summary Plotly Practice Questions |
Module 12: Exploratory Data Analysis | Data Sourcing Module Introduction Introduction to EDA Public and Private Data Private Data Public Data Web Scraping-I Web Scraping-II Summary Data Cleaning Introduction Data Types Fixing the Rows and Columns Impute/Remove Missing Values Handling Outliers Standardising Values Fixing Invalid Values and Filter Data Practice Questions Summary Univariate Analysis Introduction to Univariate Analysis Categorical Unordered Univariate Analysis Categorical Ordered Univariate Analysis Statistics on Numerical Features Graded Questions Summary Bivariate and Multivariate Analysis Introduction Numeric – Numeric Analysis Correlation vs Causation Numerical – Categorical Analysis Categorical – Categorical Analysis Multivariate Analysis Graded Questions Summary Module Summary |
Module 13: Supervised Learning Model - Regression | Introduction to Simple Linear Regression Introduction to Simple Linear Regression Introduction to machine learning Regression line Best fit line Strength of simple linear regression Simple linear regression in python Assumptions of simple linear regression Reading and understanding the data Hypothesis testing in linear regression Building a linear model Residue analysis and predictions Linear Regression using SKLearn Multiple Linear Regression Motivation-when one variable is not enough Moving from SLR to MLR-new considerations Multi collinearity Dealing with categorical variables Model assessment in comparison Feature selection Multiple Linear Regression in Python Reading and understanding the data Data preparation Initial steps Building the model I & II Residue analysis and predictions Variable selection using RFE Industry Relevance of Linear Regression Linear regression revision Prediction versus projection Media company case study Exploratory data analysis Model building - I, II & III Assessing the model Interpreting the results |
Module 14: Supervised Learning Model - Classification | Univariate Logistic Regression Binary classification Sigmoid curve Finding the best fit sigmoid curve - I Finding the best fit sigmoid curve - II Odds and log Odds Multivariate Logistic Regression - Model Building Multivariate Logistic Regression - Model Building Data cleaning and preparation - I & II Building your first model Feature elimination using RFE Confusion metrics and accuracy Manual feature elimination Multivariate Logistic Regression - Model Evaluation Multivariate Logistic Regression - Model Evaluation Metrics beyond accuracy-sensitivity and specificity Sensitivity and specificity in Python Understanding ROC curve ROC curve in python Finding the optimal threshold Model evaluation metrics - exercise Precision and recall Making predictions Logistic Regression - Industry Applications - Part I Getting familiar with logistic regression Nuances of logistic regression-sample selection Nuances of logistic regression-segmentation Nuances of logistic impression-variable transformation-I, II & III Logistic Regression: Industry Applications - Part II Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time Logistic Regression - Industry Applications - Part II Commonly face challenges in implementation of logistic regression Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time |
Module 15: Advanced Machine Learning | Unsupervised Learning: Clustering Introduction to Clustering K Means Clustering Executing K Means in Python Hierarchical Clustering Business Problem Solving Introduction to Business Problem Solving Case Study Demonstrationchurn example Practice Questions Tree Models Introduction to Decision Trees Algorithms for Decision Tree Construction Hyperparameter Tuning in Decision Trees Ensembles and Random Forests Time Series Forecasting - I (BA) Introduction to Time Series Smoothing Techniques Time Series Forecasting - II (BA) Introduction to AR Models Building AR Models Model Selection Principles of Model Selection Model Building and Evaluation |
Module 16: AI- NLP, Neural Networks & Deep Learning | Introduction to NLP What is NLP? History and evolution of NLP Applications of NLP Challenges in NLP Overview of NLP pipeline Corpus and Corpus Linguistics NLTK Toolkit Introduction to the NLTK toolkit Preprocessing text data with NLTK Basic NLP tasks using NLTK (e.g., Part-ofSpeech Tagging, Named Entity Recognition) Stemming and Lemmatization WordNet in NLTK Chunking and Chinking Sentiment Analysis with NLTK Tokenization and Topic Modeling Tokenization in NLP Bag-of-Words representation Topic Modeling with LDA Latent Semantic Analysis Word Embeddings Sentiment Analysis Project: Introduction to Sentiment Analysis Sentiment Analysis using supervised and unsupervised methods Building a Sentiment Analysis model with Python Evaluating Sentiment Analysis models AI vs Deep Learning vs ML Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) Applications of AI, ML, and DL Differences between AI, ML and DL The Concept of Neural Networks Introduction to Neural Networks Types of Neural Networks Layers in Neural Networks Activation Functions Neural Networks - Feed-forward, Convolutional, Recurrent Feed-forward Neural Networks Convolutional Neural Networks Recurrent Neural Networks Applications of Neural Networks Deep Learning Project Building a Deep Learning model with Python Image Classification with Convolutional Neural Networks Natural Language Processing with Recurrent Neural Networks |
Data Science Projects and Assignments
Major Projects
Customer Lifetime Value Calculation: The project involves calculating the customer lifetime value using SQL to understand the revenue generated by a customer over their lifetime.
Customer Churn Prediction: This project involves building a predictive model using SQL to identify customers who are likely to churn based on their behavior and transaction history.
Interactive Dashboard for E-Commerce Sales: The project involves creating an interactive dashboard using Tableau & SQL to analyze retail sales data, identify trends, and make data-driven decisions.
Customer Segmentation Dashboard: This project involves creating a customer segmentation dashboard using Tableau to identify customer groups based on demographics, behavior, and purchasing patterns.
Movie Recommendation System: The project involves building a movie recommendation system using Python and its libraries such as Pandas, NumPy, and Scikit-Learn. The recommendation system will suggest movies based on user preferences and ratings.
Sentiment Analysis on Twitter Data: This project involves analyzing Twitter data using Python and its libraries such as NLTK and TextBlob to perform sentiment analysis and understand the overall sentiment of a particular topic.
Visualizing COVID-19 Data: The project involves visualizing COVID-19 data using Python and its libraries such as Matplotlib, Seaborn, and Plotly to understand the impact of the pandemic on different countries and regions.
Visualizing Stock Market Data: This project involves visualizing stock market data using Python and its libraries such as Pandas, Matplotlib, and Bokeh to understand the trends and patterns in stock prices over time.
Airbnb Data Analysis: The project involves performing exploratory data analysis on Airbnb data to understand the patterns in the pricing, availability, and quality of Airbnb listings in different cities.
Bike Sharing Data Analysis: This project involves performing exploratory data analysis on bike sharing data to understand the usage patterns of bikes in different cities and identify factors that influence bike usage.
House Price Prediction: The project involves building a regression model using Python and its libraries such as Scikit-Learn to predict the prices of houses based on their features such as location, size, and amenities.
Credit Risk Prediction: This project involves building a classification model using Python and its libraries such as Scikit-Learn to predict the credit risk of loan applicants based on their credit history and other factors.
Time Series Forecasting for Sales Data: The project involves building a time series forecasting model using advanced machine learning algorithms such as ARIMA and LSTM to predict future sales trends and identify factors that influence sales.
Sentiment Analysis on Product Reviews: The project involves building a sentiment analysis model using NLP techniques such as Word Embeddings and Recurrent Neural Networks (RNN) to analyze product reviews and understand the sentiment of customers towards different products.
Segmentation using Deep Learning: This project involves using advanced deep learning techniques such as Fully Convolutional Networks (FCN) and U-Net to perform image segmentation and identify objects in images.
Machine Translation using Transformers: This project involves building a machine translation model using advanced deep learning techniques such as Transformers to translate text from one language to another.
Case Studies & Assignments:
- Healthcare Customer Feedback Analysis
- Management Teams Dashboard Creation
- Retail Store Sales Report Analysis
- Software Firm Employee Data Analysis
- Industrial Data Sets Classification & Comparison
- Charts & Graphs: Frequency Distribution Table, Pie-charts, Pareto Diagram, Histogram, Scatter Plots, Heatmaps, Bar Graphs and many More.
- Patient Disease Probability Analysis Using Healthcare Data
- Car Model & Menu Item Data Combination & Configuration Probability Analysis
- Manufacturing & Product Launch Data Classification & Analysis
- Customer Complaint Resolution Analysis Using Normal Distribution Curves
- Product Rating & Employee Productivity Analysis Usign Z-Score
- New Product Need Analysis Using Hypothesis Testing
- Inventory Management & Customer Segmentation Systems Using Vlook up & Hlook Lookup
- Sales Trend & Staffing Plan Creation using Pivot Tables
- Pricing Strategy & Financial Model Creation Using What if Analysis
- Sales & Operations Dashboard Creation
- Healthcare & Construction Reporting Automation Using Macros
- Retail Sales Opportunity Analysis Using PIVOT Charts
- Accounting Firm Statement Analysis Using Sparklines & Waterfall Chart
- FMCG Marketing Spend to Sales Revenue Impact Analysis Using Regression Analysis
- Transportation Pricing Model Using Regression Analysis
Data Science Placements
100% * Placement Assistance Dedicated Placement Cell To Help You Land Your Dream Job
Data science course fees
Master Program in Data Science Fees: 30k-90k
Contact Information
Digiperform Corporate Office: C-30, Third Floor, Sector-2, Near Sec-15 Metro Station, Noida, Uttar Pradesh 201301, India
Email: contact@digiperform.com
Phone: +91-8527-611-500
Website: www.digiperform.com
2. IOTA ACADEMY
At IOTA Academy, They offer tailor-made learning programs to develop real-world skills in data science and analytics. Their curriculum is based on engaging, real-world projects that teach you how to apply skills to solve real-world problems.
They open doors to new opportunities and a variety of professional options by working together. They welcome enthusiastic students and professionals at all stages of their lives.
In today’s rapidly evolving world, the demand for skilled professionals in emerging technologies is skyrocketing. As industries strive to stay competitive and innovative, the need for individuals well-versed in areas like Data Science, Data Visualization, Business Analytics, and Machine Learning has become paramount. It is in this landscape that IOTA Academy has emerged as one of India’s top-rated IT training institutes, shaping the future of countless individuals by providing them with job-oriented training programs.
Course Curriculum:
- Data Manipulation
- Data Visualization
- Analysis Techniques
- Essential Math and Stats for Data Science
Tools:-
- Excel
- SQL
- Power BI
- Python (Pandas, Numpy, Statsmodel, and other Libraries)
- R Language
Course Highlights:
- Work on Real World Projects
- Learn from Industry Experts
- Get Placement Assistance
| Name | Data Scientist |
| Course Duration | 8 Months |
| Website | www.iotaacademy.in |
| Address: | 1st Floor, Harshdeep Tower, Near Indira Pratima iBus Stop (Zoo), Navlakha, AB Road, Indore – 452001 Mob: 07869664602 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Indore Since: | 2011 |
| Fees | INR 57,500 |
| Branches in India: | Indore |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
3. LIVEWIRE
Livewire represents an electrifying blend of high-end skills, expert trainers, and individual attention. Their goal as a part of CADD Centre, a global skill development conglomerate, is to bring these three factors together and prepare you, the students, for exciting careers in emerging technologies.
They provide hundreds of courses in the most advanced subjects in information technology and computer science, electronics, and electrical departments, including data science, machine learning, IoT, artificial intelligence, and blockchain. The courses prepare their students for careers in industries such as software development, automobiles, and healthcare, which are leaders in the adoption of cutting-edge technologies.
Their courses are created by product developers and industry experts. Expert trainers deliver training in their modern and digital classroom environments and industry-grade labs. The training is based on immersive learning and takes advantage of the benefits of hybrid teaching to improve skill development outcomes.
Course Curriculum:
- Data Science
- Data Analytics using Power BI
- Data Science & Data Engineering using Python
- Data Science using R
Course Highlights:
- Program Duration-224 Hours
- Accredited by NSDC
- Flexible Learning In-center and online
- Practical Learning Hands-on experience
- Learn from Industry Experts
| Name | Master in Data Science |
| Course Duration | 6 Months |
| Website | www.livewireindia.com |
| Address: | Landmark, 206, 2nd Floor, Fortune Aura Business park ( Kyro Building 1, Gurmeet Nagar, Bhawarkua Main Rd, above Nexa Car Showroom, near Apple Hospital, Indore, Madhya Pradesh 452014 Call: 062624 74111 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Indore Since: | 2017 |
| Fees | INR 56,000 |
| Branches in India: | Indore |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
4. Bignalytics
Bignalytics IT Solutions is the fastest-growing organization in India and they are committed to providing job-oriented training programs to students and young professionals so, their learners consistently succeed in the real world.
Bignalytics has been imparting the best knowledge in the fields of Programming, Data science, Artificial intelligence, Machine Learning, Ethical Hacking, and Cyber security. Their curriculum is based on engaging, live industry projects that teach how you need to implement your knowledge in the real world.
They are authorized partners for Mile 2, a USA-based Cyber Security Certification company for the entire Southeast Asia in the name of Arika Global. it is the world’s largest certification body for information security professionals & is the creator of the world-famous Certified Penetration Testing Engineer, Certified Information Systems Security Auditor, and many more such programs.
Course Curriculum:
- LEVEL-1 Python Programming(Basic to Advanced Level)
- LEVEL-2 Business Decision-Making Using Statistics
- LEVEL-3 Supervised Machine Learning Algorithms
- LEVEL-4 Unsupervised Machine Learning
- LEVEL-5 MySQL & MongoDB in Practice
- LEVEL-6 Data Visualization
- LEVEL-7 Model Hyperparameter Tuning & Project Deployment Toolbox
- LEVEL-8 Industry Preparations
| Name | Masters Program in Data Science & Machine Learning |
| Course Duration | 4.5 Months |
| Website | www.bignalytics.in |
| Address: | 406, Bansiwala Tower, Above Morni Saari Agrasen Square, Sapna Sangeeta Rd, Indore, Madhya Pradesh 452014. Mob: 9399200960 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Indore Since: | 2020 |
| Fees | INR 47,999 |
| Branches in India: | Indore |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline |
5. IANT Indore
In the field of international IT certifications and training, IANT [Institute of Advance Network Technology] is a recognized Indian IT company. Having won several awards at various national & international platforms as the Best IT Training Institute in India, IANT has proven the value of certified professionals in the IT market. IANT is the No. 1 IT Training Company in India thanks to its excellence in the supply of advanced IT training [Corporate & Retail], IT certifications, IT infrastructure development and support, and recruitment solutions.
Infrastructure and staffed with IT professionals who are aimed at developing global IT professionals ready to serve the IT industry. IANT’s quality can be summed up as Original Courseware, International Curriculum, Corporate and Certified Trainers, and Advanced IT Labs. With a number of International Certifications accumulated in their profiles, the professionals at IANT have successfully earned the trust of Employers.
Course Curriculum:
- INTRODUCTION TO DATA AND DATA ANALYSIS
- Python Basics
- Python Packages and Manipulating data in Python
- STATISTICS BASICS
- R PROGRAMMING BASICS
- DATA SCIENCE WITH R PROGRAMMING
- INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
- DATA SCIENCE WITH AI & ML
| Name | Certificate Program in Data Science, Machine Learning & AI |
| Course Duration | 6 Months |
| Website | www.iantindia.com |
| Address: | 203, 2nd Floor, Saket Tower, AB Rd, opp. Rukmani Motors, Ratlam Kothi, Indore, Madhya Pradesh 452001 Mob: 098269 26611 |
| Avg. Google Rating: | 4 |
| Offering DS Training in Indore Since: | 2012 |
| Fees | INR 60,000 |
| Branches in India: | Indore |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
6. Boston Institute of Analytics
Boston Institute of Analytics is the world’s top-ranked international training institute that imparts training in business analytics, business management, artificial intelligence, and other emerging technologies to students and working professionals via classroom training conducted by industry experts. With training campuses across the US, UK, Europe, and Asia, BIA® has training programs across the globe with a mission to bring quality education in emerging technologies.
BIA® is driven by the industry’s top technology & amp; management experts from across the world. Our team of experts and advisors have highly specialized knowledge across business management, predictive analytics, and advanced technologies. BIA courses are designed to train students and professionals on the industry’s most widely sought-after skills and make them job-ready in the technology and business management field.
BIA® has been consistently ranked the number one training institute by Business Asia, Indian Analytics Forum, Analytics Insight, Avalon Global Research, IFC, and several recognized forums.
Course Curriculum:
- INDUCTION
- ADVANCED EXCEL
- PYTHON FUNDAMENTALS
- LOOPS & FUNCTIONS IN PYTHON
- NUMPY FUNDAMENTALS
- DATA MANIPULATION WITH PANDAS AND DATA VISUALIZATION
- INTRODUCTION TO SQL & BASIC QUERYING
- FUNDAMENTALS OF STATISTICS AND PROBABILITY
- ADVANCED STATISTICS AND HYPOTHESIS TESTING
- INTRODUCTION TO MACHINE LEARNING AND REGRESSION BASICS
- MULTIPLE LINEAR REGRESSION & MODEL EVALUATION
- LOGISTIC REGRESSION AND CLASSIFICATION METRICS
- DECISION TREES AND ENSEMBLE METHODS
- MODEL EVALUATION AND VALIDATION TECHNIQUES
- DEEP LEARNING ARCHITECTURES AND TRAINING
- NATURAL LANGUAGE PROCESSING (NLP)
- POWER BI
- TABLEAU
- INTRODUCTION TO R
- ADVANCED R PROGRAMMING
| Name | Diploma: Data Science & Artificial Intelligence Course |
| Course Duration | 6 Months |
| Website | www.bostoninstituteofanalytics.org |
| Address: | Shivneri Plaza, opp. Marriott Hotel, Vijay Nagar, Scheme 54 PU4, Indore, Madhya Pradesh 452010 Mob: 96190 00123 |
| Avg. Google Rating: | 3 |
| Offering DS Training in Indore Since: | 2000 |
| Fees | INR 1,55,000 |
| Branches in India: | Pune, Bangalore, Mumbai, Noida, Delhi, Hyderabad, Chennai |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
7. ExcelR
As a new-age training institute with a global footprint, they at ExcelR understand the constantly changing nature of the business and emerging needs across the globe. Keeping industry skill requirements in mind, They offer a wide gamut of technical and management courses as well as courses in emerging technologies. The curriculum of each course has been meticulously designed to match the contemporary needs of the industry.
Course Curriculum:
- Module 1 – Data Science Project Lifecycle
- Module 2 – Introduction To R And Python Basic Statistics
- Module 3 – Hypothesis Testing
- Module 4 – Linear Regression
- Module 5 – Logistic Regression
- Module 6 – Regularization Techniques
- Module 7 – Multinomial Regression
- Module 8 – Data Mining Unsupervised – Clustering
- Module 9 – Dimension Reduction
- Module 10 – Data Mining Unsupervised – Network Analytics
- Module 11 – Data Mining Unsupervised – Association Rules
- Module 12 – Data Mining Unsupervised – Recommender System
- Module 13 – Text Mining
- Module 14 – Natural Language Processing
- Module 15 – Machine Learning Classifiers – KNN
- Module 16 – Classifier – Naive Bayes
- Module 17 – Decision Tree And Random Forest
- Module 18 – Bagging And Boosting
- Module 19 – Black Box Methods
- Module 20 – Survival Analysis
- Module 21 – Forecasting
- Module 22 – Assignments
- Module 23 – Projects
- Module 24 – Resume Prep And Interview Support
Course Highlights:
- To cater to this special category of unicorn Data Science professionals, They at ExcelR have formulated a comprehensive 6-month intensive training program that encompasses all facets of Data Science and related fields that the Team Leader / Manager is expected to know and more.
- Under this program, the selected participants will be given adequate hands-on important ETL tools; Learn the nuances of setting up a Big Data virtual lab; harness the power of Amazon web services; and work with live scenarios in the agile environment.
| Name | Data Science and Analyst Certification Course |
| Course Duration | 6 Months |
| Website | www.excelr.com |
| Address: | Head office: 304, 3rd Floor, Pratibha Building, Three Petrol pump, Opposite Manas Tower, LBS Rd, Pakhdi, Thane (W) Maharastra 400 602 Phone: +91 9108238354/7732003007 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Indore Since: | 2016 |
| Fees | INR 85,000 |
| Branches in India: | Pune, Bangalore, Kolkata |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online |
8. DataTrained
Access to quality learning in emerging technologies has always been a challenge to most of the demographics of the Indian subcontinent.
DataTrained aim is to shorten this curve and make quality professional education accessible to all.
They are an ed-tech company with the sole aim of imparting quality programs in emerging technologies like Data Science, Analytics, Big Data, Artificial Intelligence, Machine Learning, Cloud Computing, Development, DevOps, Digital Marketing, Management, Engineering, and many more.
Course Curriculum:
- Foundations
- Python for Artificial Intelligence & Machine Learning
- Applied Statistics
- Machine Learning
- Advanced Techniques
- Time Series Analysis
- Recommendation Engine
- ChatGpt Essentials
- Introduction to GPT-3
- Introduction to Prompt Engineering
- Introduction to Explainable AI (XAI)
- Deep Diving GPT
- Project: AI Evaluator
- Introduction to GNN (Graph Neural Networks)
- Deep Diving GNN
- Understanding Generative Modeling
Course Highlights:
- 6 Months of rigorous Internship
- One-on-one interaction with Industry Mentors
- 100% Placement guarantee
- 40+ Live Projects along with Case Studies
- Dedicated Career Program Manager
- 360 Degree Career Guidance
- Ideal for both Fresh Graduates & Working Professionals
- Unique Specializations to choose from
- Prompt Query Resolution
| Name | PG Course In Data Science, Machine Learning & Neural Networks |
| Course Duration | 1 Year |
| Website | www.datatrained.com |
| Address: | B13, First Floor, Sector 2, Noida, Gautam Buddha Nagar, Uttar Pradesh – 201301 Call: +91 95600 84091 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Indore Since: | 2012 |
| Fees | INR 1,60,000 |
| Branches in India: | Noida, Delhi, Bangalore |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
9. Apponix Academy
At Apponix They Have the Best Trainers of IT Industry On the Latest Technologies. Their standard is to give the best possible training in the industry with highly qualified trainers having practical knowledge of the subject matter and with excellent lab facilities to the satisfaction of the candidates.
They look only for trainers with relevant experience in the respective technologies. As a policy, they don’t entertain trainers with zero or less practical experience. Shortlisted trainers for a specific technology are assessed for their theoretical and practical skills by the Internal Quality Team
A test class is given to a group of students and feedback is collected from the students. On full satisfaction and recommendation of the Internal Team and test students the trainer is appointed to deliver classes.
Course Curriculum:
- Class 1: Introduction to Python Programming Language
- Class 2: Data handling in Python
- Class 3: More data handling using Python
- Class 4: Additional Functions of Python
- Class 5: Statistics
- Class 6: Linear Regression
- Class 7: Linear Regression Practice Case Study
- Class 8: Logistic Regression
- Class 9: Logistic Regression Practice Case Study
Course Highlights:
- 60 Hrs. Practical Sessions
- Guaranteed 5 Interviews
- Assured Job Placement
- CV Building Activities
- Interview Preparation
- Mock Interview sessions
- 100% Money-Back Guarantee
- Delivered by Senior Data Scientist
- 18 Case studies on Machine Learning
- IABAC Certified Data Scientist Certification
| Name | Data Science with Python Training |
| Course Duration | 2 Months |
| Website | www.apponix.com |
| Address: | 306, 46th, 10th Main Rd, 4th Block, Rajajinagar, Bengaluru, Karnataka 560010 Mob: 080951 54888 |
| Avg. Google Rating: | 4 |
| Offering DS Training in Indore Since: | 2013 |
| Fees | INR 30,000 |
| Branches in India: | Bangalore, Pune, Hubli, |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online |
10. StarAgile
Founded in 2016, StarAgile has grown to become a leading giant in the space of Training and Consulting, helping students and professionals across the globe by delivering top-notch, world-class classroom and online training. They house a passionate bunch of professionals who are committed to answering the industry’s needs in the ever-changing technological advancements and catering to all your needs.
They are catering their services globally across 25+ countries Including, USA, UK, UAE, Singapore, Australia, and India, etc., They have set up a firm global footprint transcending boundaries and reaching out to students from far and wide. Their passionate and dedicated team of experts has successfully trained over 3,00,000+ students and professionals in multifarious domains which include Agile and Scrum, Project Management, Quality Management, DevOps to name a few, and are committed to raising your excellence levels and accelerating your careers!
Course Curriculum:
- Module 1 Python Programming & SQL
- Module 2 Statistics & Data Analysis
- Module 3 Machine Learning
- Module 4 AI & Deep Learning
- Module 5 R for Data Science
- Module 6 Tableau
- Module 7 Power BI
| Name | Data Science Certification Training Course |
| Course Duration | 6 Months |
| Website | www.staragile.com |
| Address: | 74, 2nd Floor, Above ICICI Bank, Bellandur, Karnataka 560103 Mob: 95133 93880 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Indore Since: | 2016 |
| Fees | INR 59,999 |
| Branches in India: | Karnataka |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
11. DataMites
DataMites is one of the leading training providers that offer cost-effective, high-quality, and real-time training courses over a wide range of analytics fields. They offer specialization courses in various fields such as Data Science, Machine Learning, Data Mining, Tableau Associate, Deep Learning, Text Mining, Python Programming, and Minitab. Their training courses are specially designed and updated by experts who have well-built experience and industrial backdrop to transmit better knowledge to the candidates who are attending the training.
Course Curriculum:
- Data Science Foundation
- Python Essentials
- R Language Essentials
- Maths for Data Science
- Statistics for Data Science
- Data Preparation with Pandas
- Visualization with Python
- Machine Learning Associate
- Advanced Machine Learning
- SQL for Data Science
- Deep Learning – CNN Basics
- Tableau Associate
- ML Model Deploy – Flask API
- Big Data Foundation
- Data Science Project Execution
Course Highlights:
- IABAC® & DMC Certification
- 400 Learning Hours
- 64-Hour Classroom Sessions
- 25 Capstone & 1 Client Project
- Cloud Lab Access
- Internship + Job Assistance
| Name | Data Science & Data Analytics Courses |
| Course Duration | 6 Months |
| Website | www.datamites.com |
| Address: | 3rd Floor, 46/4, Kudlu Gate, Hosur Main Road, Bengaluru, Karnataka 560068 Call: 1800 313 3434 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Indore Since: | 2018 |
| Branches in India: | Pune, Kolkata |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
12. WsCube Tech
WsCube Tech is the Vernacular Upskilling Edtech platform. By offering expert mentorship with their tech-powered courses in the first language of Indians, they equip learners with the skills to thrive in the global workforce.
Course Curriculum:
- Part-I: Python (1 Month)
- Part-II: Data Analysis With Statistics And Visualization (1 Month)
- Part-III: Machine Learning (2 Months)
- Part-IV: Deep Learning, AI, Neural Network (1 Month)
| Name | Data Science Training |
| Course Duration | 5 Months |
| Website | www.wscubetech.com |
| Address: | 1st Floor, Plot no. 21, Manav Ashram Colony, Vasundhara Colony, Gopal Pura Mode, Jaipur, Rajasthan- 302018 Mob: 8000455617, 9257155617 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Indore Since: | 2010 |
| Fees | INR 29,500 |
| Branches in India: | Jodhpur, Jaipur |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
Who should learn Data Science in Indore?
Data Science in Indore is for anyone eager to explore the exciting world of data analysis and interpretation. Whether you’re a recent graduate, a working professional, or someone with a passion for understanding and making sense of data, this course is tailored for you. If you want to unlock insights from vast amounts of information and contribute to business decision-making, Data Science is your pathway.
Indore’s booming IT sector provides a fertile ground for learning these skills, creating opportunities for both beginners and experienced professionals. No matter your background, whether in science, business or a non-technical field, Data Science in Indore welcomes all curious minds ready to delve into the realm of data and transform it into valuable knowledge. Join us in this exciting journey of discovery and skill-building!
Why should you study Data Science?
Learning Data Science is like unlocking a superpower that lets you uncover fascinating insights from vast information. Imagine being able to make smarter choices, predict trends, or devise innovative solutions – that’s the unique magic of Data Science. Whether you’re naturally curious, enjoy solving problems, or are looking to improve your job prospects, learning Data Science equips you with essential skills for today’s digital landscape.
It’s not just about numbers; it’s about understanding how the world operates and making a tangible impact. So, if you’re enthusiastic about embarking on an exciting journey of discovery, delving into Data Science opens the door to numerous opportunities!
Career Scope in Data Science in Indore
The career scope in Data Science in Indore is promising and diverse. With the city’s growing IT sector, there’s a high demand for skilled professionals who can analyze and interpret data. From established companies to emerging startups, the need for data-driven insights spans various industries.
As a Data Science professional in Indore, you can explore roles in data analysis, machine learning, and business intelligence. The scope extends to fields like healthcare, finance, and e-commerce. With the right skills, you can carve a rewarding career path in Indore’s thriving job market, contributing to innovative solutions and shaping the future of data-driven decision-making.
Mastering Data Science Tools
Embark on an exhilarating journey into the world of data science with Digiperform’s ‘Mastering Data Science Tools’ course. Dive deep into Python, R programming, and state-of-the-art machine learning methods, refining your ability to draw meaningful insights from data. Gain practical expertise using industry-relevant tools, equipping yourself to solve real-world data challenges. Elevate your abilities and expand your career prospects in the dynamic field of data science with Digiperform’s comprehensive and practical program.
Data Science Salaries for Freshers in Indore
For freshers diving into Data Science in Indore, exciting opportunities await with competitive salaries. The city’s burgeoning IT landscape offers entry-level positions, and companies recognize the value of skilled data enthusiasts. While exact figures vary, salaries for entry-level Data Science roles in Indore generally align with industry standards, providing a lucrative start.
As the demand for data professionals rises, so does the potential for career growth and increased earnings. Joining the Data Science field in Indore not only promises a dynamic work environment but also a rewarding financial journey for those equipped with the right skills and enthusiasm.
Current Job Openings in Data Science in Indore
Explore the thriving job market for Data Science in Indore, where numerous opportunities beckon skilled individuals. Companies are actively seeking data enthusiasts to fill diverse roles, from data analysts to machine learning engineers. With the city’s growing IT sector, job openings are abundant in both established firms and emerging startups.
Whether you’re a recent graduate or an experienced professional, there are positions suited to various skill levels. The demand for data-driven decision-making has created an array of vacancies in fields such as healthcare, finance, and e-commerce.
Keep an eye on job portals and company websites for the latest openings, and seize the chance to contribute your skills to Indore’s dynamic and expanding Data Science landscape. You can refer to these websites: Naukri.com, Linkedin.com, Indeed.com and many more.
FAQs: Data Science Course
Is data science a rewarding career?
Absolutely, data science ranks among the top professions, especially if you have skills in math, statistics, coding, etc. It boasts strong demand, attractive salaries, and extensive benefits.
Are there remote work options for data scientists?
Yes, data science is one of the rapidly growing IT industries that allows for remote work. Remote employment is common in this field.
What does "data science" mean exactly?
"Data science" encompasses a variety of methods used by data scientists to sift through vast amounts of data collected from different sources.
What is the primary goal of data science?
The main objective of data science is to explore, organize, and analyze extensive data from various sources to enhance a company's internal and external strategies.
Why should I consider becoming a data scientist?
Becoming a data scientist is worthwhile because it ranks high in terms of salary, job satisfaction, and opportunities for career advancement. Additionally, the field constantly seeks qualified professionals, ensuring a consistently high demand for data scientists.
