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Data Science Course Objectives

  • In-depth understanding formation on Data Science, Data Analytics and its types.
  • Learning Python, and its installations
  • Know how to use Python Packages and practice in manipulation of data
  • Application of Data Science in business analysis
  • Big Data analysis through cutting edge tools and technologies
  • Machine learning and Deep learning

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 Training in Mumbai

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Sagar

Well-planned curriculum. The trainer made each of his class a different experience. Everyone joined here got good and deep knowledge.

Data Science Expert
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Vijayraj

Apponix provided far better and in-depth knowledge than I expected. I was so satisfied once the course is completed and I was skilled enough to be a data analyst. Thank you.

Data Science Analyst
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Megha

Good place to learn Data Analysis. The trainer deals with the topics in a different mode. New concepts and skills were taught with much efficiency.

Data Science Analyst
subrat Mr.Sreedhar

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

Data Science Trainer Profile

  • 12+ years of experience
  • 2000+ students were trained with professional excellency
  • Top rated trainer univocally
  • Exceptional knowledge in Data Science and its core concepts including numerous applications at different fields.
  • High-grade qualified trainer with numerous certifications
  • Commendable demonstration of examples and delivery of topics
  • 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.

Student Review

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Sagar

The trainer provided his best in delivering the knowledge. He too took pain in enhancing skills in us and transforming us to professionals. Many questions and projects were made to do.

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Amar Koli

Excellent practical classes. Many live projects were given to get experienced with. The training here removed the fear to the subject and anxiety of the job. Thanks a lot sir.

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Aravind Raj

I will definitely suggest Apponix. It was one of the best decisions I have ever made. Brilliant training. Everything they provided were the best- from infrastructure and labs to the faculty.

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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.

Salary expectation after completing course

Data Science is one of the fastest growing technical fields round the globe. 100% placement is assured for certifies professionals. Minimum annual salary of a Data Scientist can be estimated to around 9-10 Lakhs per year. And this will be increasing considerable in coming years undoubtedly.

Career after Data Science Course

There are billions of dollars investments in this area by MNCs all-over the world. 70% of market growth is predicated by the experts in this field which is the best proof to assure 100% placement in various job roles after the training.

Why Should You Learn Data Science?

  • 28-35% of boost in the field since 2020
  • Expecting massive recruitment
  • Handsome salary ranges from around 3.5 to 10 lakhs per year
  • 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.
  • Huge investment of MNCs in Big Data and AI sectors which demands greater implementations of Data Science
  • Along with analysing and comprehending the data trends, a data scientist has to interpret and decipher the laws in an appropriate and approachable manner for the business tycoons, and also formulate advance solutions over it.

Data Science Training in Mumbai

  • Join Apponix for the best Data Science training in the city.
  • Apponix provides 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,

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 for training?

  • 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

Do I get certificate after completion of the course?

Yes all our students get course completion certificate.