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Data Science Course Objectives

  • Apply quantitative modeling and data analysis techniques to the solution of real world business problems, communicate findings, and effectively present results using data visualization techniques.
  • Apply principles of Data Science to the analysis of business problems.
  • Use data mining software to solve real-world problems.
  • Employ cutting edge tools and technologies to analyze Big Data.
  • Demonstrate use of team work, leadership skills, decision making and organization theory.

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 LearningDataScienceResources(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

  • 8: Validation

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

  • 9: Unsupervised (Clustering & PCA:)

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

  • 10: Ensemble

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

  • 11: NLP

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

  • 12: 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 Trainig Course Syllabus Now

Student reviews for Data Science Training in Bangalore

Dhana Laxmi
Ramesh V

Excellent teaching. Trainer is very friendly and kind to us.. Best training for Data Science.

Data Science Training


rajesh
Meghana

This is the institute for learning the courses properly. You will get the full knowledge about the courses. The way of teaching is best.Thank you apponix

Data Science Training


student
Kaushik

It was very good experience to complete Data Science course in apponix. Trainer clarifies all the doubts on time. He has hands-on experience. Fully satisfied to join here.

Data Science Training
student
Santosh

It was a good learning experience with apponix. Faculty is good. Staff are also good and friendly

Data Science Training
subrat Mr.Sreedhar

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

Data Science Trainer Profile

  • 8+ years of Experience in Data Science, currently spearheading the efforts.
  • Trained more than 2000+ students on Data Science at Apponix.
  • 5-star rating from all Data Science students.
  • Well versed in Data Science.
  • Excellent training delivery skills with an ability to present information well.
  • Demonstrable experience of being student focused and completing projects to hit deadlines and targets.
  • Demonstrable proof of enthusiasm, initiative, creativity and problem solving.
  • Demonstrable experience in delivering quality training on Data Science.
  • Excellent practical experience.

Apponix Ratings

1000+ Satisfied Learners

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5/5

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Get Data Science Training in Bangalore from Industry Experts, Get Certified

Enroll for Data Science training today. Request Demo class. Our instructor has 80+ years hands on experience in implementing Data Science in mission Critical projects. Demo Classes run in Rajajinagar and Marathahalli every week Sunday.

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Student Review

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Seema H
Data Engineer

Management is very good, flexible with timings. Teaching pattern is easy and understandable.

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Aravind
Data Analyst

I took training for Data Science from Apponix institute, tutor has good knowledge on the subject & very experienced, he makes understand every concept and he will clear the doubts again & again, i gained more knowledge on Data Science.

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Ajit
Data Analyst

Best institute for Data Science. Trainer has very good knowledge in Data Science.

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Anand
Data Engineer

Sir is very helpful and takes every step to make the students understand topics.

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Sohail
Data Analyst

It is good to learn Data Science here and the tranier is excellent.

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Download Data Science Course Content

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Salary expectation after completing Data Science course

As there is a growing demand for Data Science Engineers, the salary is also constantly increasing for Data Science skills,
As per payscale.com Average salary for Data Scientist is Rs 9,12,453 Per year.

Career after Data Science course

Bangalore is a Silicon Valley of India, it has large number of IT companies spread across Bangalore, you should not have any doubt on shortage of Data Science jobs in Bangalore. IT technologies is growing and there a huge demand for Data Science engineers. Data Science has more than 70% of the markets share in terms of providing services.

How We Stand Out Among Other Google Cloud Platform Training Institutes?

@ Apponix

VS

@ Other
institutes

$

Course fees

Very competitive and affordable.

Most of the institutes provide at really less fees

Working Professionals as trainers

Yes

Very Few

Trainers Experience

Min 7+ Years experience

Most of the institute trainers have less exposure

Class Room Infrastructure

All classrooms are Air conditioned with power backups.

Very few institutes

@ Apponix

VS

@ Other
institutes

Student Web Portal

We have a dedicated students portal where you will find course

None

$

Instalments

Yes its very flexible, you can pay the fees in instalments.

Very few institutes

Lab Infrastructure

For most of the courses each student is given with laptop or desktop

None

$

Fees Negotiable?

Definitely yes we understand the financial situation

Very few

@ Apponix

VS

@ Other
institutes

Reference Pay

We pay Rs 1000 for every student you refer.

None

Who are our trainers?

IT consultants, Solutions Architects, Technical Leads

Most of the institutes hire

Student’s Ratings

5 ***** ratings from more than 4000 students

Mixed

Trust & Credibility

Very High

Moderate.

Why Should You Learn Data Science

  • The average salary of a Data analyst in India is Rs 9,12,453 Per year
  • Entry level positions start at Rs 3.5 Lacks per year
  • You are in demand – You can continue to work in India, or pursue work overseas, Data analytics skills will be high on the list of priorities for organizations.
  • The pay is very good – Earning opportunities are endless because of the demand and need for good and skilled Data Scientists.

The Lack of Competition

  • Not only is there anunavailability of data analysts in the industry, but existing professionals in other fields don’t necessarily want to step up to fill this gap.

The Ease of Job Hunting

  • Organizations and Enterprises have recruiters solely dedicated to the purpose of finding skilled Data analytics, Since Data analysts are in such high demand and they are so limited in number.

Data Scientist Training at Apponix

  • Data Scientist Training at Apponix offers the best and comprehensive methods to learn the analytics in Bangalore. This training program has been prepared with extensive inputs from experts in the industry with many years of industry experience. As a student, you will learn various components and tools in Data analytics, Machine Learning algorithms and more to develop valuable business insights.
  • There is a boom in demand for data analytics skilled professionals who have expertise in working with data.
  • There is an exponential explosion in data analytics in modern times.

What is the market trend for Data Science in India?

  • The Data analytics market is steaming up in the India and around the worldsdue to the exponential rise of data being gathered.
  • As users grow their data is being captured by the software’s & business and the business use this data to forecast the consumer behavior.
  • So, the market offersimmeasurable opportunities to skilled and certified Data Scientists employed in India since Data analytics market is booming in our country.
  • Data analytics is used in daily life in the following instances:
    Data analytics is used by banks to predict customer risks and NPAs.
    Data analytics is also used byInsurance Companies for risk analysis.
  • 90% of the world’s existing data has been stored in various types in last decade and is expected to grow exponentially 100 times by 2025
aws responsiblity

Data Science Job Responsibilities

  • Modify existing databases and database management systems (DBMS) or instruct programmers and other analysts to make essential changes.
  • Write and code logical and physical database descriptions and specify identifiers of database to management system or direct other colleagues in coding descriptions.
  • Review project requests describing database user needs to estimate time and cost required to accomplish project.
  • Review data results to ensure accuracy. Configure data visualizations for stakeholders
  • Provide data analysis and standard reporting support, which includes the ability to extract data from various sources and data stores by executing light business coding (SQL, VBA, Unix, etc.) and system parameter setting, perform ad-hoc queries and develop/automate financial/statistical models using a variety of known software applications and tools (Excel, Access, etc.)
  • Support the use of data science and machine learning within the various PSE engineering DevOps teams.
  • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques
  • Translates business requirements throughout the development process, delivers solutions in accordance with business strategies, standards, and processes.
  • Develop business cases for R&D initiatives, provides expert advice to product managers, developers, architects and business partners on data science use cases and options.
  • Architect highly scalable distributed systems, using different open source tools.
  • Working with lambda architectures and batch and real-time data streams.
  • Understand high performance algorithms and Python statistical software and brief team.

FAQs

  • What is Data Science ?
  • Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. . A Data Scientist will look at the data from many angles, sometimes angles not known earlier
  • What will I learn in this Data Science training?
  • Roles & responsibilities of a Data Scientist.
  • Testing, assessing and managing data of a organization.
  • Prediction/Forecast and analysis breakdown using various tools .
  • Sampling techniques.
  • Working with recommender software and systems
  • Installation and working with analytics tools
  • Linear and logistic regression approaches.
  • Deploying clustering for analysis.
  • What are the Job roles for candidates with knowledge in Data Science
  • Data Engineer
  • Data Scientist
  • Data Visualizer
  • Data Analyst
  • Business Analyst
  • Why you should choose Apponix?
  • Apponix has best experienced and multi skilled trainers with years of experience in the industry.
  • Apponix has tied up with many companies and consultancies and recruiting agencies to provide placement assistance for all our students.
  • 100% job guarantee for this course.
  • Trained more than 2000 candidates in this course and placed them.
  • Excellent lab facilities for every candidate and all our classrooms are Air-Conditioned to make students comfortable while learning.
  • Each student is given a computer to practice throughout the duration of this course.
  • Industries for Data Analytics Jobs in India
  • E-Commerce
  • Banking
  • Finance
  • Healthcare
  • Telecommunications
  • Travel & Tourism
  • Top 10 Companies that hire Data analytics professionals
  • IBM, Dell, Microsoft, Infosys, Wipro, JP Morgan, Amazon, Flipkart, Snapdeal & TCS

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