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Unlock the power of data with our comprehensive, hands-on course designed to take you from foundational data analysis to advanced machine learning and artificial intelligence. Whether you’re looking to start a career in data science or deepen your existing knowledge, this course offers a structured pathway to mastering the tools and techniques that are transforming industries worldwide.
What You Will Learn:
- Data Analysis & Visualization: Develop the skills to analyze and visualize data using powerful tools like Python, R, and SQL. Learn how to clean, manipulate, and explore data to extract meaningful insights.
- Foundations of Data Science: Gain a deep understanding of core data science concepts including statistics, data processing, and feature engineering. Understand how to work with both structured and unstructured data.
- Machine Learning: Dive into supervised and unsupervised learning algorithms, including regression, classification, clustering, and model evaluation. Gain hands-on experience with tools like scikit-learn, TensorFlow, and Keras.
- Deep Learning & AI: Explore advanced techniques in neural networks, deep learning, and artificial intelligence. Learn how to build and deploy models that can recognize patterns, make predictions, and automate tasks.
- Real-World Applications: Work on projects simulating real-world data science and AI problems, applying your knowledge to solve complex challenges in areas like finance, healthcare, e-commerce, and beyond.
Why Choose This Course?
- Expert-Led Instruction: Learn from industry experts with years of experience in data science and AI.
- Hands-On Projects: Get practical experience by working on real-world datasets and building your own machine learning models.
- Flexible Learning: Access the course anytime, anywhere, with lifetime access to materials and resources.
- Career-Ready Skills: Gain the in-demand skills needed to thrive in the rapidly growing fields of data science, machine learning, and AI.
Whether you’re a beginner or looking to expand your expertise, this course will equip you with the knowledge and practical experience to succeed in the exciting world of data science and artificial intelligence.
Why Choose Us ?
Over 19 Years of Experience
100% Practical Training
Industrial Projects
1 on 1 Mentorship
Rated 4.9 on Google
Resume Feedback
Focus on Practical Skills
100% Placement Assistance
Flexible Timings
Over 19 Years of Experience
100% Practical Training
Industrial Projects
1 on 1 Mentorship
Rated 4.9 on Google
Resume Feedback
Focus on Practical Skills
100% Placement Assistance
Flexible Timings
What Our Students Have To Say About Us
4.9
Based on 262 reviews
powered by Google
A very good Institution to introduce kids to computer my child had a wonderful time and learn many new things.
I have learned Computer basic course from here. It was a great experience in future vision computer classes.
Future Vision Computers offers an exceptional learning experience with a supportive environment. The knowledgeable faculty provides clear explanations, ensuring a solid understanding of the course material. Highly recommended for those seeking to enhance their technical skills.
I have learned python programming here and it was a great experience learning here
I completed the Python Core Programming course, and it was a great learning experience! The course was well structured and concepts were explained in an easy-to-understand manner from basics to advanced. The instructors helped in strengthening of conceptual foundation and projects after theory helped in practical application of learnt knowledge.Overall great experience, and recommend for someone starting afresh.
I learned an accounting course. I really enjoyed that. The method of teaching is very nice here. U can come anytime for doubts and practice, sir Solve all queries anytime, Thank you Siddharth sir
I have done computer basic course here, I have learned very well or I have had a nice experience..
I have done Computer Basics from Future Vision.It was very good experience to learn here. Ambience is good.You can ask and get inquire here exact want you want to learn. This course will help to learn the things which will help you in life.Teaching is good.You will practice twice the same.You can clear doubt.Finally it is amazing to learn here and all the thing I really want to learn.
I learned graphic designing and the staff is best with all curriculum they helped me and boosted my confidence
I had an amazing experience learning the Digital Marketing course at Future Vision. What I appreciated the most about this institute is the personal attention given to each student. You can ask your doubts without any hesitation, and they are always ready to help. Even after completing the course, they encourage you to visit the center anytime for clearing doubts, which shows their commitment to students' success.If you're planning to pursue a computer course, I highly recommend visiting Future Vision. All the faculty members are very cooperative, and I want to extend a special thanks to Yash Sir for building my confidence and supporting me throughout the journey.Thank you, Future Vision, for making this learning experience so enriching.
This institute was a great place for different ideas I basically learned python and the teachers were very friendly and helpful. They helped in my silly 😜 doubts as well
Here I completed the computer basic course, I felt very impressed and understood everything very well.
I've learned a lot from the digital marketing course at future vision Class! The one - to -one - session and supportive environment make learning easy and enjoyable.
I have completed my core python course over here. The institute helped me to sharpen my skills . And had a great experience here.
Teachers are very helpful... They provided notes for tally prime and also learned using the computer appropriately
It was a great experience in learning graphic designing under mentorship of Mansi ma'am .The institute provided detail learning about graphics. It helped me to sharpen my skills . Highly recommend!
Mansi Ma'am is too good and my daughter is too happy with her because she made her well trained in basic computer concepts.I will surely send my daughter again to Mansi ma'am in future whenever Aaditi needs to learn more.Thanks
I've have been learning basic of Graphics designing and that's really an interesting course to learn. It is really a great experience learning at future vision. Faculty is very helpful. Special Thanks to Khyati mam for detailed explanation in teaching.
It was great experience learning at future vision. Teachers here are putting great efforts on students. I learned Advanced Excel course. It was my best decision to learn this course at future vision. Thank you sir for advising and guiding me for this particular course. Teachers here are so friendly and polite and solve all your doubts and queries nicely. They also gives personal attention to each and every student. I am so glad that I got to know about Future Vision. I would definitely recommend to all of my friends. It was an amazing experience.
I've have been learning basic of Graphics designing and that's really an interesting course to learn. Huge thanks to Sir for advising and for giving guidance about this course. Also Special Thanks to Khyati mam for well organized content and detailed explanation in teaching. I can't wait to finish this course and learn something different.
All the faculties are very friendly and informative. Even after my course was complete, whenever I use to ask them any doubts, all the faculties were very supportive and helpful. One feels very positive and confident on entry into the class. All the faculties are masters in their respective fields.
Completed Website Designing and Digital Marketing and Web Development with full practical knowledge.The faculties are very helpful and and learning from here is practical and you do grow in your preferred field. Faculties are very helpful and you get hands on practice and does help in near future also.Best institute for learning and building your career in respective fields.
My experience was best the faculty of the institute are very good and supportive. They even help there students in their work after the course has been completed and whenever the students require there support. It was my best learning experience and there teaching methodologies and course curriculum are excellent
4.8
Based on 87 reviews
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I just completed my python programming course here.Yash sir is very professional, he teaches everything very calmly and class environment was also very good
Review of Future Vision – A Place for Learning and GrowthFuture Vision isn’t just a tuition center—it’s a place where students truly understand and enjoy learning about computers and technology. Whether it’s Informatics Practices or other computer-related courses, the teaching here is structured, engaging, and designed to make complex concepts easy to grasp.What sets Future Vision apart is its focus on practical learning. Instead of just memorizing theory, students get hands-on experience, which builds real skills they can use in the future. The instructors are patient, knowledgeable, and always ready to help, making learning a stress-free and enjoyable process.Beyond academics, Future Vision creates a positive and motivating environment where students feel encouraged to ask questions, explore new ideas, and build confidence in their abilities. It’s a place that truly prepares students for a tech-driven future, making learning both meaningful and exciting.
Got to learn a lot at FUTURE VISION.Personal attention is been provided by tutors.It was a good experience learning at future vision.
It was a good experience and the faculty are nice, helpful and have proper knowledge of their respective fields
Great institute if you want to learn new skills! I just completed my course for video editing, and I found the very helpful...✨
Graphic DesignGreat experienceLoved the course and learnt alotalso the explanation was very detailed.
It was very exciting there were many brain teasers type questions got loads of curiosity and now i can read codes like story book and I always try to guess the output of any code that I see in my school
Really good classes for all kinds of computer courses. Faculty is really supportive and got to learn a lot. Very good classes.
The course covers all the essential concepts of Python programming in a well-structured mannerThe course material provided was comprehensive and well-organized. The coaching classes provided lecture notes, practice exercises, and additional resources like code samples and reference materials.The course emphasized practical application through coding exercises and mini-projects.Considering the quality of teaching, course content, and overall learning experience, I believe the course offered excellent value for money.Overall, I highly recommend the Python Programming course at the future vision computer institute . It is suitable for beginners and individuals with some prior programming experience looking to expand their knowledge of Python.
I’ve enrolled C programming course at the future vision computer institute. The curriculum is fairly adaptable here. The trainers here have a lot of knowledge and all of them explains framework issues in a Calm and simple manner. They impart the educational program. If you’re interested in an IT proffession. I encourage everyone to sign up here. Many thanks to the educational personnel here.
Future vision provides a well-rounded curriculum that covers a broad range of topics. From basic computer literacy to advanced programming concepts, we receive a comprehensive education that prepares us for the digital age.
4.9
Based on 392 reviews
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I completed the Basic Course and it was a wonderful experience the concept was explained in an easy to learn way it is a very good Institute to introduce kids to introduce computer and I had a wonderful time here and I had learn many new things which will help me in my future
I have learned Computer basic course from here. It was a great experience in future vision computer classes.
I have learned illustrator from here. great learning experience, really helpful, assistance throughout the course, overall would recommend.
I have learned python programming here and it was a great experience learning here
I learned an accounting course. I really enjoyed that. The method of teaching is very nice here. U can come anytime for doubts and practice, sir Solve all queries anytime, Thank you Siddharth sir
Learns phytons Form Future Vision … Best institute .. Best Place .. Best Teacher .. Best environment …
It was very good and continent experience for me. I was taught everything from scratch and was also taught different methods and covered full curriculum.
I Naman goyal wanna take this opportunity to thank future vision class . Mainly Siddarth sir who has been motivating me also inspiring all the time to come and learn the course with full energetic, moreover entire course helped to gain knowledge.
Mansi Ma'am, the course materials you provided are highly informative and well-organized. The way you explain design principles is very clear and elaborate. your graphic design course has been incredibly enriching and has significantly improved my design skills. Your dedication and support are greatly appreciated.
This institute was a great place for different ideas I basically learned python and the teachers were very friendly and helpful. They helped in my silly 😜 doubts as well. Looking forward for the next course
I did 3 months basic course of graphic designing from future vision and it was my best experience here. Teachers are very humble and polite. Going to continue my journey of graphic designing from future vision only😌😌
I have learned graphic designing course. I enjoyed learning here. Mansi maam is best teacher.she is soo sweet. I recommend everyone to learn graphic designing from here.
Here I completed the computer basic course, I felt very impressed and understood everything very well.
I completed the graphic design course at Future Vision Skills, and overall, it was a valuable learning experience. The course covered a range of essential software like Adobe Illustrator, Photoshop, After Effects, Premiere Pro, Lightroom, filmora and canva. The instructors were knowledgeable and provided practical, hands-on projects, which helped in building a strong foundation in design.
I have completed my Graphic designing course from here and the way for teaching is best.. The faculties are always available for the help and always repeat the same thing if we doesn't understand..My experience was good and I will surely suggest you to take classes from here.
I have learned basic computer course.I really enjoyed that.The mathod of teaching is very nice here. U can come anytime for doubts and practice. Teacher solve all our query anytime and many times. So I really liked it.
Had a very good experience with the teachers and the peers there and learned a lot from them. It is now helping me a lot in my course as I have a commerce background and my course requires a basic learning in python. And I thank all the teachers for their help with my ups and downs. Very much thank you.
I am learning the python and advance python course. The learning experience and environment is very good. Faculties teaches the course in nice and friendly manner.
I learnt the basics in Graphic Designing. I enjoyed learning here. It was easy to understand, thanks to Khyati Ma’am’s detailed explaination and teaching. She also helped solve my doubts. Overall it was a great learning experience 😀
I'm taking a C programming course, and it's been a fabulous experience so far. The faculty here are extremely pleasant and motivating. I can confidently state that taking my course from here was the best decision I ever made. They make studying straightforward and easy to understand, especially with Siddharth sir.
I love this class.Because Siddharth sir is best sir ever.He's studing method is so deferent.
From my experience I feel Future vision has a very good environment. Siddharth sir is also a very good teacher. He's teaching technique is so good that he'll never make you forget what you have learnt. All the courses are available here online and offline. And it's worth it to go and study in Future Vision
My experience in mastermind tally class was great. The best part was individual training. Good opportunity for having a great career in accounting field..I am thankful to Sir to teach us the stuff syllabus in easy manner…I wonder and appreciate the teaching methods adopted by sir. He helped me to understand the Tally Prime in easy way and clarify our doubts without any hesitation.Harsh Patel
My experience with future vision was amazing. I did the python course and was able to learn it without any trouble. The teachers give you personal attention and solve any of your queries. I would definitely recommend future vision to any of my friends.
my experience of learning graphic designing from future vision was amazing learned a lot from this institute. Faculty here is very friendly and motivating,teachers here personally attend your problems which helps to do designing things easily. Big shoutout to KHYATI MAM for her patience.I highly recommend you to join this institue if you want to learn anythig related to computers because of the faculty and their techniques.
This is the best institution in town for learning anything about computers. I met Mr Siddharth who was really helpful in clearing my doubts regarding digital marketing and all.Mr Yash who explained everything in such a detail that you will learn everything there only. He is really confident in his work and his concepts are crystal clear.Environment of the place there is very warm.This place is highly recommended to the ones looking for any computer courses. They have all basic and advanced learning programs.
Had a very amazing experience at future vision. Sir had taught me basics of python and R programming. I would definitely recommend you to join the institute
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Curriculum
- 10 Sections
- 348 Lessons
- 44 Weeks
Expand all sectionsCollapse all sections
- Data Analysis in Excel38
- 1.1QUICK REVIEW ON MS EXCEL OPTIONS, RIBBON, SHEETS
- 1.2SAVING EXCEL FILE AS PDF, CSV AND OLDER VERSIONS
- 1.3USING EXCEL SHORTCUTS WITH FULL LIST OF SHORTCUTS
- 1.4COPY, CUT, PASTE, HIDE, UNHIDE, AND LINK THE DATA IN ROWS, COLUMNS AND SHEET
- 1.5USING PASTE SPECIAL OPTIONS FORMATTING CELLS, ROWS, COLUMNS AND SHEETS
- 1.6DATA VALIDATION IN EXCEL
- 1.7ADVANCED FILTERING IN EXCEL
- 1.8GROUPING & SUBTOTAL IN EXCEL
- 1.9PROTECTING & UNPROTECTING CELLS, ROWS, COLUMNS AND SHEETS WITH OR WITHOUT PASSWORD
- 1.10PAGE LAYOUT AND PRINTER PROPERTIES
- 1.11WORKING WITH FORMULAS / FUNCTION
- 1.12LOOKUP AND REFERENCE FUNCTIONS: VLOOKUP, HLOOKUP, INDEX, MATCH, ETC
- 1.13LOGICAL FUNCTION: IF / ELSE, AND, OR, NOT, TRUE, NESTED IF/ELSE ETC
- 1.14DATE & TIME FUNCTIONS: DATE, DATEVALUE, DAY, DAY360, SECOND, MINUTES, HOURS, NOW, TODAY MONTH, YEAR, YEARFRAC, TIME, WEEKDAY, WORKDAY
- 1.15MATH & TRIGONOMETRY FUNCTIONS: RAND, ROUND, CEILING, FLOOR, INT, LCM, EVEN, SUMIF
- 1.16STATISTICAL FUNCTIONS: AVEDEV, AVERAGE, AVERAGEA, AVERAGEIF, COUNT, COUNTA, COUNTBLANK, COUNTIF, MAX, MAXA,MIN, MINA, STDEVA
- 1.17TEXT FUNCTIONS: LEFT, RIGHT, TEXT, TRIM, MID, LOWER, UPPER, PROPER, REPLACE, REPT, FIND, SEARCH, SUBSTITUTE, TRIM, TRUNC, CONVERT, CONCATENATE.
- 1.18USING CONDITIONAL FORMATTING WITH MULTIPLE CELL RULES
- 1.19USING COLOR SCALES AND ICON SETS IN CONDITIONAL FORMATTING
- 1.20CREATING NEW RULES AND MANAGING EXISTING RULES
- 1.21DATA LOCK & PROTECTION
- 1.22ADVANCE CHARTS IN EXCEL
- 1.23AREA CHARTS AND SURFACE CHARTS
- 1.24TREND LINE CHARTS AND CANDLE STICK
- 1.25XY (SCATTER CHARTS)
- 1.26TIME SERIES CHARTS AND BUBBLE CHARTS
- 1.27RADAR CHARTS AND DOUGHNUT CHARTS
- 1.28WORKING WITH FILL SERIES & GO TO SPECIAL
- 1.29CONSOLIDATION IN EXCEL
- 1.30GOAL SEEK & SCENARIO
- 1.31MANAGER & DATA TABLE
- 1.32PROFESSIONAL DASHBOARDS IN EXCEL
- 1.33INTERACTIVE SALES DASHBOARD IN EXCEL
- 1.34BANK & MARKETING DASHBOARD
- 1.35INTERACTIVE HR DASHBOARD IN EXCEL
- 1.36PROJECT MANAGEMENT DASHBOARD IN EXCEL
- 1.37CALL CENTRE DASHBOARD IN EXCEL
- 1.38WORKING WITH HISTOGRAM
- Database Design with MySQL21
- 2.1INTRODUCTION
- 2.2WHAT IS A DATA WAREHOUSE?
- 2.3ENTITY CONSTRAINTS
- 2.4DDL AND DML STATEMENTS
- 2.5QUERYING IN MYSQL
- 2.6SQL STATEMENTS AND OPERATORS
- 2.7AGGREGATE FUNCTIONS
- 2.8ORDERING
- 2.9STRING AND DATE-TIME FUNCTIONS
- 2.10REGULAR EXPRESSIONS
- 2.11NESTED QUERIES
- 2.12VIEWS in SQL
- 2.13JOINS AND SET OPERATIONS
- 2.14SET THEORY
- 2.15TYPES OF JOINS
- 2.16TYPES OF JOINS: A DEMONSTRATION
- 2.17OUTER JOINS: A DEMONSTRATION
- 2.18VIEWS WITH JOINS
- 2.19SET OPERATIONS WITH SQL
- 2.20ASSIGNMENT
- 2.21CASE STUDY
- DATA ANALYSIS IN PYTHON41
- 3.1NUMPY IN PYTHON
- 3.2INTRODUCTION TO NUMPY
- 3.3BASICS OF NUMPY
- 3.4MATHEMATICAL OPERATIONS ON NUMPY
- 3.5MATHEMATICAL OPERATIONS ON NUMPY II
- 3.6CREATING NUMPY ARRAYS
- 3.7OPERATIONS OVER 1-D ARRAYS
- 3.8MULTIDIMENSIONAL ARRAYS
- 3.9COMPUTATION TIMES IN NUMPY VS PYTHON
- 3.10PANDAS IN PYTHON
- 3.11INTRODUCTION TO PANDAS
- 3.12BASICS OF PANDAS
- 3.13PANDAS – ROWS AND COLUMNS
- 3.14DESCRIBING DATA
- 3.15INDEXING AND SLICING
- 3.16OPERATIONS ON DATA FRAMES
- 3.17GROUP AND AGGREGATE FUNCTIONS
- 3.18MERGING DATA FRAMES
- 3.19DATA VISUALISATION IN PYTHON
- 3.20INTRODUCTION TO DATA VISUALISATION WITH MATPLOTLIB
- 3.21THE NECESSITY OF DATA VISUALISATION VISUALISATIONS – SOME EXAMPLES
- 3.22FACTS AND DIMENSIONS
- 3.23BAR GRAPH
- 3.24SCATTER PLOT
- 3.25LINE GRAPH AND HISTOGRAM
- 3.26OUTLIERS ANALYSIS WITH BOXPLOTS
- 3.27SUBPLOTS
- 3.28CHOOSING PLOT TYPES
- 3.29PROJECTS
- 3.30DATA VISUALISATION IN PYTHON WITH SEABORN
- 3.31INTRODUCTION
- 3.32DISTRIBUTION PLOTS & STYLING OPTIONS
- 3.33PIE – CHART AND BAR CHART
- 3.34SCATTER PLOTS & PAIR PLOTS
- 3.35REVISITING BAR GRAPHS AND BOX PLOTS
- 3.36HEATMAPS
- 3.37LINE CHARTS
- 3.38STACKED BAR CHARTS
- 3.39CASE STUDY SUMMARY
- 3.40DATA VISUALISATION PRACTICE
- 3.41CASE STUDY
- Statistics Essentials10
- R Programming30
- 5.1R–Overview
- 5.2R – Environment Setup
- 5.3R – Basic Syntax
- 5.4R – Data Types
- 5.5R – Variables
- 5.6R – Operators
- 5.7R – Decision Making
- 5.8R – Loops & R – Function
- 5.9R – Strings & R – Lists
- 5.10R – Matrices
- 5.11R – Arrays & R – Factors
- 5.12R – Data Frames
- 5.13R – Packages
- 5.14R – Data Reshaping Melt The Data
- 5.15R – Csv Files
- 5.16R – Excel File Input As Xlsx
- 5.17R – Binary Files
- 5.18R – Xml Files
- 5.19R – Json File
- 5.20R – Web Data
- 5.21R – Databases
- 5.22R – Pie Charts & R – Bar Charts
- 5.23R – Boxplots & R – Histograms
- 5.24R – Scatterplots
- 5.25R – Mean, Median & Mode
- 5.26R – Linear Regression
- 5.27R – Multiple Regression
- 5.28R – Logistic Regression
- 5.29R – Normal Distribution
- 5.30R – Binomial Distribution
- Microsoft Power BI29
- 6.1COMPONENTS OF POWER BI: DESKTOP, SERVICE, AND MOBILE APPS
- 6.2BENEFITS AND APPLICATIONS OF POWER BI
- 6.3POWER BI ARCHITECTURE OVERVIEW
- 6.4INSTALLING AND SETTING UP POWER BI DESKTOP
- 6.5CONNECTING TO DATA SOURCES (EXCEL, CSV, ONLINE SERVICES, ETC.)
- 6.6CLEANING AND TRANSFORMING DATA
- 6.7HANDLING MISSING DATA SPLITTING AND MERGING COLUMNS
- 6.8DATA FORMATTING AND STANDARDIZATION WORKING WITH RELATIONSHIPS BETWEEN TABLES
- 6.9CREATING CUSTOM COLUMNS AND MEASURES WITH DAX (DATA ANALYSIS EXPRESSIONS)
- 6.10CREATING RELATIONSHIPS BETWEEN TABLES UNDERSTANDING
- 6.11CALCULATED COLUMNS AND MEASURES
- 6.12MANAGING MODEL PERFORMANCE WITH OPTIMIZATION TECHNIQUES
- 6.13CREATING BASIC CHARTS: BAR, LINE, PIE, AND COLUMN CHARTS
- 6.14ADVANCED VISUALS: SCATTER PLOTS, MAPS, FUNNEL CHARTS, & GAUGES USING SLICERS, FILTERS, & DRILL-THROUGHS.
- 6.15CREATING AND CUSTOMIZING DASHBOARDS FORMATTING AND STYLING REPORTS FOR BETTER USER EXPERIENCE USING POWER BI MARKETPLACE FOR CUSTOM VISUALS
- 6.16CALCULATED COLUMNS AND MEASURES
- 6.17AGGREGATION FUNCTIONS (SUM, AVERAGE, COUNT)
- 6.18TIME INTELLIGENCE FUNCTIONS (YTD, MTD, QTD)
- 6.19PUBLISHING REPORTS TO POWER BI SERVICE
- 6.20CREATING DASHBOARDS IN POWER BI SERVICE
- 6.21SHARING REPORTS AND DASHBOARDS WITH OTHERS
- 6.22EXPORTING REPORTS TO PDF
- 6.23SALES ANALYSIS
- 6.24FINANCIAL REPORTING
- 6.25CONNECTING POWER BI DESKTOP WITH MOBILE FOR REAL TIME ANALYSIS
- 6.26RETAIL ANALYSIS DASHBOARDS
- 6.27TELECOM CHURN RATE DASHBOARD
- 6.28OLA COMPANY DASHBOARD
- 6.29BLINKIT ANALYSIS DASHBOARD
- Understanding EDA (THE CRISP-DM FRAMEWORK)33
- 7.1DEFINE THE BUSINESS PROBLEM – BUSINESS
- 7.2PUBLIC AND PRIVATE DATA
- 7.3DATA SOURCING
- 7.4UNDERSTANDING RAW DATA
- 7.5DATA CLEANING
- 7.6FILTERING DATA
- 7.7FIXING ROWS AND COLUMNS
- 7.8STANDARDISING VALUES
- 7.9MISSING VALUES
- 7.10INVALID VALUES
- 7.11INTRODUCTION TO EDA
- 7.12PREPARING DATA FOR ANALYSIS
- 7.13DATA ANALYSIS: MODELLING
- 7.14MODEL EVALUATION
- 7.15MODEL DEPLOYMENT
- 7.16ASSIGNMENT
- 7.17UNIVARIATE ANALYSIS
- 7.18UNORDERED CATEGORICAL VARIABLES
- 7.19QUANTITATIVE VARIABLES – UNIVARIATE ANALYSIS
- 7.20QUANTITATIVE VARIABLES – SUMMARY METRICS
- 7.21SEGMENTED UNIVARIATE
- 7.22BASIS OF SEGMENTATION
- 7.23QUICK WAY OF SEGMENTATION
- 7.24COMPARISON OF AVERAGES
- 7.25COMPARISON OF OTHER METRICS
- 7.26BIVARIATE ANALYSIS
- 7.27BIVARIATE ANALYSIS ON CONTINUOUS VARIABLES
- 7.28BUSINESS PROBLEMS INVOLVING CORRELATION
- 7.29BIVARIATE ANALYSIS ON CATEGORICAL VARIABLES
- 7.30DERIVED METRICS
- 7.31TYPES DRIVEN METRICS
- 7.32BUSINESS DRIVEN METRICS
- 7.33DATA DRIVEN METRICS
- EDA Projects & Case Study19
- 8.1INDUSTRIAL CASE STUDIES
- 8.2CASE STUDY ON FORMATTING THE DATA
- 8.3COST CALCULATION CASE STUDY
- 8.4CASE STUDY ON SHOE COMPANY
- 8.5DATA FILTERING MINI CHALLENGE
- 8.6ADVANCED CHARTS CASE STUDY
- 8.7DATA CLEANING & PREAPRING IN EXCEL
- 8.8ADVANCE PIVOT BASED REPORT GENERATION
- 8.9MAKING REPORT ON HOTEL BOOKING
- 8.10SALES CASE STUDY FOR A TOY COMPANY
- 8.11EDA PROJECTS
- 8.12PROJECT ON DRUG REVIEWS DATASET
- 8.13PROJECT ON IPL / FOOTBALL DATA ANALYSES
- 8.14PROJECT ON EXPLORING FACTORS OF LIFE
- 8.15EXPECTANCY
- 8.16PROJECT ON TIME SERIES FORECAST ON ENERGY CONSUMPTION
- 8.17PROJECT ON LOAN PREDICTION
- 8.18PROJECT ON HOME PRICE PREDICTION
- 8.19PROJECT ON OTT ( NETFLIX / HOTSTAR DISNEY )
- DATA SCIENCE AND AI60
- 9.1ANALYTICS PROBLEM SOLVING
- 9.2PYTHON FOR DATA SCIENCE
- 9.3HYPOTHESIS TESTING
- 9.4CONCEPTS OF HYPOTHESIS TESTING – I: NULL AND ALTERNATE HYPOTHESIS, MAKING A DECISION, AND CRITICAL VALUE METHOD
- 9.5CONCEPTS OF HYPOTHESIS TESTING – II: P VALUE METHOD AND TYPES OF ERRORS
- 9.6INDUSTRY DEMONSTRATION OF HYPOTHESIS TESTING: TWO-SAMPLE MEAN AND PROPORTION TEST, A/B TESTING
- 9.7LINEAR REGRESSION
- 9.8SIMPLE LINEAR REGRESSION
- 9.9SIMPLE LINEAR REGRESSION IN PYTHON
- 9.10MULTIPLE LINEAR REGRESSION
- 9.11MULTIPLE LINEAR REGRESSION IN PYTHON
- 9.12INDUSTRY RELEVANCE OF LINEAR REGRESSION
- 9.13LOGISTIC REGRESSION
- 9.14UNIVARIATE LOGISTIC REGRESSION
- 9.15MULTIVARIATE LOGISTIC REGRESSION:
- 9.16MODEL BUILDING AND EVALUATION
- 9.17LOGISTIC REGRESSION: INDUSTRY APPLICATIONS
- 9.18CLASSIFICATION USING DECISION TREES
- 9.19INTRODUCTION TO DECISION TREES
- 9.20HYPERPARAMETER TUNING IN DECISION TREES
- 9.21ALGORITHMS FOR DECISION TREES CONSTRUCTION
- 9.22UNSUPERVISED LEARNING
- 9.23CLUSTERING
- 9.24INTRODUCTION TO CLUSTERING
- 9.25K-MEANS CLUSTERING
- 9.26HIERARCHICAL CLUSTERING
- 9.27OTHER FORMS OF CLUSTERING: K-MODE, K-PROTOTYPE, DB SCAN
- 9.28BASICS OF NLP AND TEXT MINING
- 9.29REGEX AND INTRODUCTION TO NLP
- 9.30BASIC LEXICAL PROCESSING
- 9.31ADVANCED LEXICAL PROCESSING
- 9.32BUSINESS PROBLEM SOLVING
- 9.33INTRODUCTION TO BUSINESS PROBLEM SOLVING
- 9.34BUSINESS PROBLEM SOLVING: CASE STUDY DEMONSTRATIONS
- 9.35Learn how to approach open ended, real- world problems using data as a lever to draw actionable insights.
- 9.36CASE STUDY: LEAD SCORING
- 9.37PROBLEM STATEMENT
- 9.38INTRODUCTION TO RANDOM FORESTS
- 9.39HIERARCHICAL CLUSTERING
- 9.40FEATURE IMPORTANCE IN RANDOM FORESTS
- 9.41RANDOM FORESTS IN PYTHON
- 9.42Learn how powerful ensemble algorithms can improve your classification models by building random forests from decision trees
- 9.43BOOSTING
- 9.44INTRODUCTION TO BOOSTING AND ADABOOST
- 9.45GRADIENT BOOSTING
- 9.46PRINCIPAL COMPONENT ANALYSIS
- 9.47SINGULAR VALUE DECOMPOSITION
- 9.48ADVANCED REGRESSION
- 9.49GENERALISED LINEAR REGRESSION
- 9.50REGULARISED REGRESSION
- 9.51ADVANCED ML CASE STUDY
- 9.52MODEL SELECTION & GENERAL ML TECHNIQUES
- 9.53PRINCIPLES OF MODEL SELECTION
- 9.54MODEL EVALUATION
- 9.55MODEL SELECTION: BEST PRACTICES
- 9.56TIME SERIES FORECASTING
- 9.57INTRODUCTION TO TIME SERIES AND ITS COMPONENTS
- 9.58SMOOTHING TECHNIQUES
- 9.59INTRODUCTION TO AR MODELS
- 9.60BUILDING AR MODELS
- Natural Language Processing (NLP)67
- 10.1FUNDAMENTALS OF NLP
- 10.2Text Preprocessing: Techniques for cleaning and preparing text (tokenization, stemming, lemmatization, stop-word removal)
- 10.3Text Representation: Converting words to numerical representations (Bag of Words, TF-IDF, Word Embeddings).
- 10.4WORD EMBEDDINGS
- 10.5Word2Vec, GloVe, and FastText: Learn how words are embedded into vector space, capturing semantic meaning.
- 10.6Contextual Embeddings: Explore advanced methods like ELMo, BERT, and GPT, which consider the context of words.
- 10.7SEQUENCE MODELS
- 10.8RNNs (Recurrent Neural Networks): Learn how RNNs handle sequential data such as sentences.
- 10.9LSTMs and GRUs: Explore advanced RNN models for better handling long-range dependencies in text.
- 10.10ATTENTION MECHANISMS & TRANSFORMERS
- 10.11Attention Mechanism: Understand how attention models focus on relevant parts of a sentence.
- 10.12Transformers: Learn the foundation of models like BERT and GPT that revolutionized NLP with non sequential processing.
- 10.13LANGUAGE MODELS
- 10.14Pretrained Models (BERT, GPT, etc.): Study large models that are pretrained on vast corpora, allowing for fine-tuning on specific NLP tasks.
- 10.15Transfer Learning: Using pretrained models for specific applications like text classification or translation.
- 10.16TEXT GENERATION
- 10.17Sequence-to-Sequence Models: Understand how models generate text, such as in translation, summarization, or chatbot conversations.
- 10.18Generative Models: Explore GPT and similar models for generating human-like text.
- 10.19SENTIMENT ANALYSIS AND TEXT CLASSIFICATION
- 10.20Sentiment Analysis: Techniques for analyzing text for emotions or opinions.
- 10.21Text Classification: Methods for categorizing text into predefined classes (e.g., spam detection, topic classification).
- 10.22NAMED ENTITY RECOGNITION
- 10.23(NER) AND PART-OF-SPEECH
- 10.24(POS) TAGGING
- 10.25NER: Extract important entities (people, places, dates) from text.
- 10.26POS Tagging: Assign grammatical categories (nouns, verbs) to words in a sentence.
- 10.27SPEECH AND TEXT SYNTHESIS
- 10.28Text-to-Speech (TTS): Convert written text into spoken words.
- 10.29Speech Recognition: Use models to convert spoken language into written text.
- 10.30DEEP LEARNING
- 10.31NEURAL NETWORKS
- 10.32FUNDAMENTALS
- 10.33Perceptrons and Multilayer Networks: Basics of neural networks, how neurons work, and the architecture of feedforward neural networks (FNNs).
- 10.34Activation Functions: Explore functions like ReLU, Sigmoid, and Tanh, used to introduce non linearity in neural networks.
- 10.35BACKPROPAGATION AND OPTIMIZATION
- 10.36Gradient Descent: Learn how neural networks are trained using backpropagation and optimization techniques like stochastic gradient descent (SGD) and Adam.
- 10.37Loss Functions: Study different loss functions such as mean squared error (MSE) and cross-entropy for classification and regression tasks.
- 10.38DEEP LEARNING
- 10.39DEEP LEARNING ARCHITECTURES
- 10.40Fully Connected Networks (FNNs): Learn about the structure of deep networks where each neuron connects to every neuron in the next layer.
- 10.41Convolutional Neural Networks (CNNs): Understand CNNs for image recognition, object detection, and computer vision tasks.
- 10.42Recurrent Neural Networks (RNNs): Study RNNs and their variants (LSTM, GRU) for handling sequential data like time series or text.
- 10.43REGULARIZATION TECHNIQUES
- 10.44Overfitting Solutions: Learn techniques like dropout, L2 regularization, and batch normalization to improve generalization and prevent overfitting.
- 10.45DEEP LEARNING
- 10.46TRANSFER LEARNING
- 10.47Pretrained Models: Utilize pre trained models (e.g., VGG, ResNet, BERT) and fine-tune them for specific tasks, saving time and computational resources.
- 10.48AUTOENCODERS AND REPRESENTATION LEARNING
- 10.49Autoencoders: Learn how autoencoders compress data into lower-dimensional representations for tasks like anomaly detection and unsupervised learning.
- 10.50SEQUENCE MODELS AND ATTENTION
- 10.51RNNs, LSTMs, GRUs: Explore models for sequential data like time-series prediction, language translation, and speech recognition.
- 10.52Attention Mechanism: Learn how attention is used in sequence models to focus on important parts of input data.
- 10.53Transformers: Study transformer architecture for handling long-range dependencies, the backbone of models like BERT and GPT.
- 10.54DEEP LEARNING
- 10.55GENERATIVE MODELS
- 10.56Generative Adversarial Networks (GANs): Understand how GANs generate new data similar to a given dataset, such as generating realistic images.
- 10.57Variational Autoencoders (VAEs): Learn VAEs for probabilistic modeling and generating new, high quality data samples.
- 10.58COMPUTER VISION
- 10.59Image Processing with CNNs: Use CNNs for image classification, object detection, and segmentation tasks.
- 10.60Advanced Vision Techniques: Learn transfer learning, data augmentation, and fine-tuning for improving model performance on vision tasks.
- 10.61Text Processing: Study deep learning models for text-based applications like language modeling, text classification, sentiment analysis, and machine translation.
- 10.62REINFORCEMENT LEARNING
- 10.63RL Algorithms: Understand how deep learning is used in reinforcement learning for decision making and optimizing tasks over time, such as in games or robotics.
- 10.64DEPLOYING AND SCALING DEEP
- 10.65LEARNING MODELS
- 10.66Model Deployment: Learn how to deploy trained deep learning models for real-world applications using frameworks like TensorFlow, PyTorch, and ONNX.
- 10.67Scaling and Optimization: Use techniques for distributed training and model optimization to handle large datasets and improve inference speed.
Yash Jain
0 Students45 Courses

Price
₹ 110,250.00
₹ 66,150.00
Duration 44 weeks
Language English
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