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Data Science Courses In Jabalpur
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Top 7 Data Science Courses in Jabalpur with Placement
Welcome to our list of the Top 7 Data Science Course Institutes in Jabalpur!
Jabalpur, a city nestled in the heart of Madhya Pradesh, India, with its historical charm and cultural significance, is now poised to embrace the transformative wave of technology, specifically in the realm of data science.
As the world increasingly relies on data-driven insights, Jabalpur is recognizing the importance of integrating data science into its landscape. The city’s educational institutions are adapting by offering courses and programs in data science, catering to the growing demand for skilled professionals in the field.
The future of data science in Jabalpur holds immense promise. As businesses and industries in the region evolve, the need for data-driven decision-making becomes paramount. From healthcare and agriculture to manufacturing and governance, data science is set to play a pivotal role in optimizing processes, predicting trends, and solving complex challenges. The implementation of data science in Jabalpur is not merely a technological advancement but a strategic move toward efficiency, innovation, and global competitiveness.
With a focus on education and a burgeoning interest in technology, Jabalpur is likely to witness an upsurge in job opportunities in data science. As the city integrates more deeply into the digital age, the future of data science in Jabalpur appears bright, promising a dynamic and tech-savvy ecosystem that contributes significantly to the city’s overall progress and development.
This article will talk about the Top 7 Data Science Courses in Jabalpur, why these courses are important, and the benefits of taking them in Jabalpur, India so let’s start.
Comparison Chart: Top 7 Data Science Courses in Jabalpur with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Jabalpur, 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 | Edureka learning center | Online | 2011 | INR 89,999 | 100% |
| 3 | 360DigiTMG Data Science Institute | Online | 2016 | INR 85,000 | 100% |
| 4 | LIVEWIRE | Online & Offline | 2017 | INR 56,000 | 100% |
| 5 | IANT Indore | Offline | 2012 | INR 60,000 | 100% |
| 6 | QuickXpert Infotech | Online & Offline | 2014 | INR 25,000 | 100% |
| 7 | Apponix Academy | Online | 2013 | INR 30,000 | 100% |
What is Data Science and its Importance?
Data science is the integration of mathematical and statistical principles, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning, coupled with domain-specific knowledge. Its primary goal is to unearth actionable insights concealed within an organization’s data, offering valuable guidance for decision-making and strategic planning. The rapid increase in data sources and, consequently, data volume positions data science as one of the most swiftly expanding fields across diverse industries. This dynamic discipline plays a pivotal role in transforming raw data into meaningful information, empowering businesses and professionals to make informed choices and devise strategic initiatives based on data-driven analysis.
Its Importance: IDC predicts that by 2025, the world’s data will expand to a staggering 175 zettabytes. Data Science plays a crucial role in helping companies effectively comprehend vast datasets from diverse sources, extracting valuable insights to facilitate intelligent, data-driven decision-making. Its widespread application spans various industry domains such as marketing, healthcare, finance, banking, policy work, and beyond.
The ubiquity of Data Science across these sectors underscores its significance in enhancing operational efficiency, driving innovation, and ensuring informed decision-making. In a landscape where big data is expanding exponentially, the pivotal role of Data Science in distilling meaningful information from this vast sea of information becomes increasingly evident, emphasizing its paramount importance in contemporary industries.
Top 7 Data Science Courses in Jabalpur
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?
Opting for Digiperform’s Online Data Science Course is a wise decision for multiple reasons. Our learning experience is designed with user-friendliness in mind, crafted by industry experts to ensure a smooth understanding of intricate concepts.
The course is meticulously structured based on feedback from 450 businesses, assuring its relevance in the ever-changing digital landscape. We adopt a hands-on approach, blending practical work, research, and assignments to offer a comprehensive learning journey.
Whether you come from a scientific, business, or non-technical background, our course is customized for your success. Join us to unlock the realm of data science and embark on a gratifying learning adventure!
Data Science Online Course: Advantages
Embarking on an Online Data Science Course comes with numerous advantages. One key perk is flexibility, enabling you to learn at your own pace from any corner of the world. The curriculum, crafted by industry experts, ensures practical relevance, and the hands-on approach equips you with tangible skills for the real world.
Access to a wide array of resources and the opportunity to engage with a diverse online community enhance the overall learning experience. Regardless of whether you have a technical or non-technical background, this course opens doors to a realm of opportunities, making the intricate field of data science accessible and rewarding. Enhance your skills conveniently with the flexibility 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 big 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 big 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. Edureka learning center
Edureka is one of the largest online coaching platforms in India. They provide IT certification training for Data Science, Web Development, Cloud Computing, and related sectors. Their certifications are industry-recognized. Their headquarters are in Bangalore. They’re ridiculously committed to their students. Be it steady reminders, relentless masters, or 24 x 7 online assistance – they may make sure that you run out of excuses to not complete the course.
Course Curriculum:
- Python for Data Science
- Probability and Statistics
- Supervised Machine Learning
- Natural Language Processing
- Unsupervised Machine Learning
- Model Evaluation and Optimization
- Deep Learning Using TensorFlow
- Data Visualization Using Tableau
Course Highlights:
- Talent demanded by big industries of all sectors
- Lucrative pay-scale
- Wide career scope
- Best in the world hybrid training program
- Government Scholarships available
- Faculty-led Blended Training
- Practical Learning
- Placement Assistance
| Name | Data Scientist Course Master Program |
| Course Duration | 250+ Hours |
| Website | www.edureka.co |
| Address: | 1132, near DHANI KI KUTIYA, Ravindra Nagar, Adhartal, Jabalpur, Madhya Pradesh 482004 Mob: 091657 79888 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Jabalpur Since: | 2011 |
| Fees | INR 89,999 |
| Branches in India: | Bangalore, Nagpur, Delhi, Gurugram, Hyderabad, Kolkata, Pune, Noida, Chennai |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
3. 360 DigiTMG Data Science Institute
360DigiTMG is the organization of choice for leading industries worldwide, attracting aspirants from across the globe. It consistently transforms individuals’ careers by offering an exceptional learning journey, setting itself apart from the competition. With its main headquarters in India, 360DigiTMG has made a significant global impact by providing world-class training.
Course Curriculum:
- CRISP-DM – Project Management Methodology
- Exploratory Data Analytics (EDA) / Descriptive Analytics or Descriptive Statistics
- Statistical Data Business Intelligence and Data Visualization
- Plots & Inferential Statistics
- Probability Distributions (Continuous & Discrete)
- Hypothesis Testing – The ‘4’ Must Know Hypothesis Tests
- Data Mining Supervised Learning – Linear Regression, OLS
- Predictive Modelling – Multiple Linear Regression
- Lasso and Ridge Regressions
- Logistic Regression – Binary Value Prediction, MLE
- Multinomial Regression and Ordinal Regression & more
Course Highlights:
- 180+ Hours Online + Classroom Sessions
- 150+ Hours of Practical Assignments
- 2 Capstone Projects
- Certified
- 100% Placement Assistance
- Live Free Webinar
- 24/7 Support
| Name | Professional Course in Data Science & AI |
| Course Duration | 6 Months |
| Website | www.360digitmg.com |
| Address: | No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka 560102 Call: 1800 212 654 321 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Jabalpur Since: | 2016 |
| Fees | INR 85,000 |
| Branches in India: | Pune, Hyderabad, Bangalore, Chennai |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online |
4. 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
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: | 2nd Floor Khanuja Complex, Jabalpur Hospital Road Napier Nr Standard Auto Maruti Suzuki ShowroomBhavartal Garden Road, Napier Town, Jabalpur, Madhya Pradesh 482001 Mob: 093000 46918 |
| Avg. Google Rating: | 4 |
| Offering DS Training in Jabalpur Since: | 2012 |
| Fees | INR 60,000 |
| Branches in India: | Indore, Jabalpur |
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Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline |
6. QuickXpert Infotech
Best Data Science Course in Jabalpur to Learn in Online / Classroom Format and Get Certified from the Best Data Science Training Institute QuickXpert Infotech is known for Quality Training in Reasonable Fees and Placements!
About their Data Science & Analytics Certification Course with Real Time Projects – Learn from basics of Python to advanced A.I. and Analytics modules on Real Time Projects under or Experts. Can be learned by both freshers and experienced to become a Data Science Professional
Course Curriculum:
- Python & Python Analytics
- Data Analysis & Machine Learning
- Artificial Intelligence
- SQL
- Power BI
- Duration
Course Highlights:
- 100% Job Oriented Programs
- 80% Practical
- Study Material / Notes
- Course Completion Certificate
- Live Projects /Case Studies
- Interview Preparation
- Best Placement Service
- 1000+ Companies
- Short-sized batches
- Personal Attention
| Name | Data Science & Analytics Course |
| Course Duration | 2 Months |
| Website | www.quickxpertinfotech.com |
| Address: | 101, Prestige Chambers CHS Ltd., opp. Thane west rly stn, Besides Maurya Hotel, Thane 400601 Mob: 7506252588, 7276681665 |
| Avg. Google Rating: | 4 |
| Offering DS Training in Jabalpur Since: | 2014 |
| Fees | INR 25,000 |
| Branches in India: | Jabalpur |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
7. 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 Jabalpur 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 |
Who should learn Data Science in Jabalpur?
If you’re curious about unraveling the stories hidden within vast datasets or eager to decode the language of numbers to make informed decisions, then you’re the ideal candidate to learn data science in Jabalpur.
Whether you’re a recent graduate exploring career paths, a professional looking to upskill, or an entrepreneur seeking insights to propel your business forward, data science in Jabalpur is a gateway to a world of possibilities. The city’s burgeoning tech scene and emphasis on innovation make it an exciting space for anyone keen on understanding and leveraging the power of data.
From aspiring data scientists to business analysts, the diverse range of roles in data science caters to ensure that there’s a place for anyone with a passion for problem-solving and a thirst for knowledge in the dynamic landscape of Jabalpur.
Why should you study Data Science?
Studying Data Science is like gaining a superpower for understanding the world through information. It’s not just for computer whizzes; anyone curious about making sense of data can benefit. Imagine being able to predict trends, make smart decisions, and solve real-world problems using data – that’s the magic of Data Science! In today’s digital age, where information is everywhere, learning Data Science is like having a key to unlock doors of knowledge.
Plus, it opens up cool job opportunities in various fields, from healthcare to business. Whether you’re a student shaping your future or someone wanting to level up their skills, studying Data Science is a smart move that empowers you to navigate the data-driven world with confidence and creativity.
Career Scope in Data Science in Jabalpur
The career opportunities in Data Science in Jabalpur are on the rise, opening doors for people who want to work with data. As businesses in Jabalpur are recognizing the power of data, there’s a growing demand for individuals skilled in Data Science. Whether you are interested in healthcare, finance, or any other field, Data Science offers a wide scope.
It’s not just about working with computers; it’s about using data to solve real-world problems. In Jabalpur, you can find jobs as a data analyst, machine learning engineer, or in various other roles. Learning Data Science in Jabalpur can be a smart move for those who want a career that’s both rewarding and in demand, allowing you to make a positive impact by using data to understand and improve different aspects of our world.
Mastering Data Science Tools
Explore the realm of data science through Digiperform’s ‘Mastering Data Science Tools’ course. This program delves into Python, R programming, and sophisticated machine learning techniques, empowering participants to derive meaningful insights from data. Gain hands-on experience with vital industry tools, preparing yourself to tackle genuine data-related hurdles. Enhance your proficiency and unlock various career opportunities in the ever-evolving field of data science with Digiperform’s thorough and practical curriculum.
Data Science Salaries for Freshers in Jabalpur
For freshers diving into the world of data science in Jabalpur, the salary landscape is pretty promising. Companies in Jabalpur are recognizing the importance of young, talented minds in the field, and they’re willing to reward that. While salaries can vary, especially depending on the company and your skills, a fresh graduate in data science in Jabalpur can expect a competitive starting salary.
The city’s tech industry is thriving, and there’s a high demand for skilled individuals who can handle data. So, if you’re excited about crunching numbers and making sense of information, not only will you find an engaging career in Jabalpur, but you’ll likely be starting off with a decent paycheck that acknowledges the value of your skills in the ever-growing field of data science.
Current Job Openings in Data Science in Jabalpur
In Jabalpur, there’s a buzz of opportunities for job seekers in the field of data science. Many companies are on the lookout for talented individuals to join their teams and work wonders with data. From entry-level positions to more experienced roles, the job market in Jabalpur for data science is dynamic. Whether you’re passionate about coding, and statistics, or just love solving puzzles with data, there’s likely a job opening that matches your skills.
Keep an eye on job portals, company websites, and networking events to stay updated on the latest opportunities. Jabalpur’s thriving tech scene means that the city is a treasure trove of job openings in data science, offering a plethora of chances for those ready to dive into the world of data-driven insights.
You can refer to these websites: Naukri.com, Linkedin.com, Indeed.com and many more.
FAQs: Data Science Course
What is Data Science, and why is it important?
Data Science is a multidisciplinary field that involves extracting insights and knowledge from large volumes of data using scientific methods, processes, and algorithms. It is crucial because it helps businesses and organizations make informed decisions, predict trends, and solve complex problems.
Who can benefit from a Data Science course?
A Data Science course is beneficial for a wide range of individuals, including students, professionals from various industries, and anyone interested in working with data. It caters to both beginners and those looking to enhance their skills in data analysis, machine learning, and statistical modeling.
Are there any prerequisites for enrolling in a Data Science course?
Prerequisites may vary, but a basic understanding of mathematics and statistics is often helpful. Some courses may also require basic programming knowledge. However, many programs are designed to accommodate learners with diverse backgrounds.
What topics are typically covered in a Data Science course?
Data Science courses cover a broad spectrum of topics, including data analysis, machine learning, statistical modeling, data visualization, and tools such as Python and R. The curriculum often includes hands-on projects to apply theoretical concepts.
How does completing a Data Science course benefit my career?
Completing a Data Science course enhances your skill set, making you valuable in the job market. It opens up opportunities in various fields, including data analysis, machine learning engineering, and business intelligence. The practical knowledge gained during the course equips you to tackle real-world data challenges, making you a sought-after professional in the evolving field of Data Science.
