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Data Science Course Objectives

  • Data Science lifecycle: data collection, extraction, cleansing, exploration and transformation
  • Data integration and mining
  • Get skilled in Statistical Analysis, Machine Learning and Deep Learning.
  • Know the practice of Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics and so on
  • Expertise in programming languages lilke R programming and Python

Data Science Course Syllabus

  • 1: Introduction to Data Science

  • Introduction ToDataScience
  • Real Time UseCasesOfDataScience
  • Who is a DataScientist?
  • Github Tutorial
  • Skillsets needed for DataScientist
  • 6 Steps to take in 3 Months for acomplete transformation to DataSciencefrom any other domain
  • Machine Learning-Giving ComputersThe ability to learn from data
  • Supervised vs Unsupervised
  • DeepLearning vs Machine Learning
  • Link to get Free Data to Practice?
  • Some Great self Learning DataScience Resources(Books,Tutorials,Vedeos,Papers)
  • Software Installation

  • 2: Python Programming

  • Introduction To Python
  • “Hello Python Program” in IDLE
  • Jupyter Notebook Tutorial
  • Spyder Tutorial
  • Introduction to Python
  • Variable,Operators,DataTypes
  • If Else,For and While Loops
  • Functions
  • Lambda Expression
  • Filter, Map,Reduce
  • Taking input from keyboard
  • HANDS ON-
  • INTERVIEW QUESTION DISCUSSION

  • 3: Python Advanced Topics

  • NumPy
  • Create Arrays
  • Array Item Selection and Indexing
  • Array Mathematics
  • Array Operation
  • HANDS ON
  • Pandas
  • Introduction to Pandas
  • Series
  • Series indexing and Selection
  • Series Operation
  • Introduction to Pandas
  • Data Frames
  • Data Collection from csv,json,html,excel
  • Data Merging,Concatenation,join
  • Group By and Aggregate Function
  • Order By
  • Missing Value Treatment
  • Outlier Detection and Removal
  • Pandas builtin Data Visualisation
  • HANDS ON
  • INTERVIEW QUESTION DISCUSSION

  • 4: Visualisation-matplotlib, seaborn

  • Line Plots
  • Scatter Plots
  • Pair Plots
  • Histograms
  • Heat Maps
  • Bar Plots
  • Count Plots
  • Factor Plots
  • Box Plots
  • Violin Plots
  • Swarm Plots
  • Strip Plots
  • Pandas BuiltinVisualisation Library
  • HANDS ON
  • INTERVIEW QUESTION DISCUSSION

  • 5: Statistics

  • Descriptive vs Inferential Statistics
  • Mean,Median,Mode,Variance,Std. dev
  • Central Limit Theorm
  • Co-Variance
  • Pearson’s Product Moment Correlation
  • R - Square
  • Adjusted R-Square
  • Spearman’s. Rank order Coefficient
  • Sample vs Population
  • Standardizing Data(Z-score)
  • Hypothesis Testing
  • Normal Distribution
  • Bias Variance Tradeoff
  • Skewness
  • P Value
  • Z-test vs T-test
  • The F distribution
  • The chi-Square test of Independence
  • Type-1 and Type-2 errors
  • Annova
  • HANDS ON
  • INTERVIEW QUESTION DISCUSSION

  • 6: Introduction to Machine Learning

  • Introduction to Machine Leaning
  • Machine Learning Usecases
  • Supervised vs Unsupervised vs Semi-Supervised
  • Machine Learning process Workflow
  • Training a model
  • Validating results
  • Overfitting vs Underfitting
  • Ordinal vs Nominal data
  • Structured vs unstructured vs semi-structured dat
  • Intro to scikitLearn
  • HANDS ON

  • 7: Supervised

  • Regression:
  • Regression Vs Classification
  • Linear regression
  • Multivariate regression
  • Polynomial regression
  • Multi-Colinearity,
  • Auto correlation
  • Heteroscedascity

  • 8: Hands On

  • Classification:
  • KNN
  • Svm
  • Decision Tree
  • Random Forest
  • Performance tuning of Random Forest
  • Naive Bayse
  • Overfitting Vs Underfitting
  • Hands On

  • 9: Validation

  • Classification Report
  • Confusion Report
  • ROC
  • RMSE
  • MSE
  • Cross validation
  • Hands On

  • 10: Unsupervised (Clustering & PCA:)

  • Kmeans
  • How to choose number of K in KMeans
  • Hands on
  • PCA
  • Hands on

  • 11: Ensemble

  • What is Ensembling
  • Types of Ensembling
  • Bagging
  • Boosting
  • Stacking
  • Random Forest
  • Important Feature Extraction
  • XGBoost
  • HANDS ON

  • 12: NLP

  • Tokenizer
  • Stop Word Removal
  • Tf-idf
  • Document similarity
  • Word2vec Model
  • t-SNE visualisation
  • Sentiment Analysis
  • HANDS ON

  • 13: Deep Learning

  • Basic of Neural Network
  • Type of NN
  • Cost Function
  • Tensorflow Basics
  • Hands on Simple NN with Tensorflow
  • Image classification using CNN
  • HANDS ON

  • Project 1: Sale Prediction

  • In this project, we will build a predictive model to find out the sales of each product at a particular store.

  • Project 2: Predict Taxi Destination

  • In this project, we will build a predictive framework that is able to infer the final destination of taxi rides based on their (initial) partial trajectories. The output of such a framework will be the final trip's destination employee's attributes change over time.
Download Full Data Science Training Course Syllabus Now

Students Feedback for Data Science in Mysore

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Sagar

Happy to have joined Apponix. I will definitely suggest the institute. Thank you Apponix for a wonderful learning time.

Data Science Expert
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Vijayraj

Well-organized classes. The course is completed within the proclaimed time limit. Good classes.

Data Science Analyst
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Megha

The trainer takes the classes considering both beginners and professionals accordingly. The methods he used were good and effective. The way he taught us made the ideas concrete in our minds.

Data Science Analyst
subrat Mr.Sreedhar

Data Science & Python Trainer 10+ Years Of Working Experience In MNC.

Data Science Trainer Profile

  • Professional and training experience of 10+ years at different reputed MNCs.
  • 2000+ students were trained with professional excellency
  • 5 star rated trainer of Apponix univocally by the entire students got training
  • Expert level experience in Data Science and its core concepts including numerous applications at different fields.
  • High-grade qualified trainer
  • He constantly updates his knowledge and practical experience with recent trends and needs of the industry.
  • Good demonstration of examples and subject delivery
  • Real-world practical knowledge and concrete idea about theoretical content.

Apponix Ratings

apponix +11000 Satisfied Learners

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Enroll for Data Science training today

Join Apponix for the best competitive training in Data Science under profiecient trainer who are real industry experts.

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Student Review

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Sagar

I successfully completed the training in Data Science as got placement soon. High quality education is offered here. The classes are too good.

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Amar Koli

Brilliant training. The trainer has got deep knowledge in the topics. His experience is really great inspiration.

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Aravind Raj

I really enjoyed the training. Excellent classes. Too good and facilitated labs are providedhere.

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Jasleen Ahuja

i completed SEO course here .Akash sir is an excellent trainer! I had a great experience learning here!

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Shoba

Apponix the one of the best institute for Digital Marketing and SEO. The way of teaching by Akash sir is fantastic, here i learned many things.

Download Data Science Course Content

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Salary expectation after completing course

There occurred a rise of 417% in the demand for Data Scientists in India, in 2018. Data Science offers 100% assurance in placement with good salary. In India the minimum annual salary of a Data Scientist can be estimated to around 9-10 Lakhs per year.

Career after Data Science training

Data Science is one of the most promising fields with numerous career opportunities and job-roles. According to NASSCOM there are 1.4 lakh jobs vacant in Data Science, AI and Big Data professions. By 2021, the world is going to face a deficit of 2.3 lakh Data Science professional. It is the present most promising career to choose.

Why to choose Data Science?

  • 1.5 lakhs job vacancies are waiting for you around the globe
  • Career opportunities are further enhanced with the application of Data Science in the field of Artificial Intelligence and Big Data
  • Magnificent deficit of about 2.5 lakh Data Science professionals by 2021. This makes the field most promising and demanding.
  • Majority of the firms are moving to be insights-drive which increase the trends in and around big data, AI, cloud computing etc. This enhancement of data maturity heightened the need of data science.
  • 28-35% of boost in the field since 2020

Data Science Training in Mysore

  • Join Apponix for the best experience in Data Science training.
  • We offer the best certification guidance.
  • Apponix is an unbeatable platform for forming strong theoretical and practical knowledge with immense practical experience.

FAQs

What will learn through this training?

  • Testing analysing and managing data of organizations
  • Predicting breakdowns using various tools
  • Offering best solutions and best possible innovations
  • Sampling techniques
  • Installation and working with analytical tools
  • Deploying cluster for analysis

What are the job roles waiting?

  • Business Analyst
  • Data Engineer
  • Data Scientist
  • Data Analyst
  • Data Visualizer

Which are the fields offering career opportunities for Data Scientists?

  • AI
  • E-commerce
  • Travel & Tourism
  • Banking
  • Telecommunications
  • Health
  • Education
  • Finance

Which all reputed firms will hire Data analytics professionals?

  • IBM
  • Dell
  • Microsoft
  • Infosys
  • Wipro
  • Amazon
  • Flipkart
  • Snapdeal
  • TCS and so on,

Do I get certificate after completion of the course?

Yes all our students get course completion certificate.

What is Apponix Certified Professional Certificate?

After completion of the course we will conduct a exam, and if you get 80% or more in the exam you will get Apponix Certified Professional Certificate.

Who is my instructor?

Your instructor is a 15+ years experienced graphic designer, Animator & multimedia expert.

How much is course Fees?

Please call us to get best discounted corse fees

Can I pay course fees in installments?

Yes,definitely you can pay in installments.

What are the assistances can I expect from you?

Resume preparation,Interview Prepration and Certification guidance

Why should I choose Apponix?

  • Most experienced professional as trainers.
  • Continuous tracking of the needs of different industries and prepares the trainees for the upcoming trends in markets and technologies.
  • Enables the aspirants be prepared for the future interviews and tests.
  • 150+ tied up companies as client to assist in placement
  • 5 star rating and 98% student satisfaction
  • Flexible timings and study friendly infrastructure
  • Own study materials
  • Customised syllabus
  • Resume preparation

Who can take the training?

  • Professionals from any domain who are passionate and possess profound skills in logic and analytical area can choose this course for better expansion of the career. Freshers from any stream and graduation can blindly take the training for an assured future. Others who can take the training include:
  • Software programmers
  • Business analysts
  • Statisticians
  • Economists
  • Mathematicians
  • Those in the fields of Business intelligence, Data Warehousing and Reporting

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