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Become a IABAC Certified Data Scientist

Authorised Training Partner of IABAC

Apponix is a official Training partner of IABAC™

(International Association of Business Analytics Certification (IABAC™) is a Globally recognized Professional Association dedicated to growing and enhancing the field of applied Data Science and Business Analytics.

Apponix Data Science program is designed in line with IABAC’s international standard curriculum & Data Science syllabus in inline with European Commission project EDISON framework.

The certifications provided by IABAC are recognised on an international platform globally.

Certification Name: IABAC Certified Data Scientist Certification (CDS – DS2050) Globally recognized and the most pursued

Certification Cost : $0 ( Actual Exam Fees $180 if you buy directly from IABAC)

Who can pursue this certification?

Graduates/Students who wants to start their career in Data Science domain.

Professionals working in the different domain & want to start their career in data science

On an average, a certified data science professional earns 30-40% more salary than their non-certified as per the study conducted by Forbes Magazine.

Enroll for any course at Apponix & get 12 Months FREE Access to

LinkedIn Learning (Worth of Rs 15,800) +
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Use project files and quizzes to practice while you learn

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Learn & Get Certificate in Any Technology Courses:

Cloud Computing

Digital Marketing

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Data Science

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BigData Hadoop & Analytics

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Full Stack Development

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Data Science Course Syllabus

Machine Learning with Python

1:Introduction to Python Programming Language

Introduction and Installation of Python software Python packages: Pandas, & Numpy
Concepts of Data frame Filtering
Loc and iloc for filtering Usage of Boolean in Filtering Appending

2: Data handling in Python

Handling of Missing values If else statement
Extra trick of using if else statement Removal of Duplicates
Frequency Distribution
Merging – Inner, Outer, Left and Right Binding and Appending
Descriptive Statistics
Inbuilt Numeric functions of R

3: More data handling using Python

Pivot Table of Excel in Python Grouping function
Learning of SQL queries using Python Grouping numeric data

4: Additional functions of Python

Text functions
Data cleaning with efficient text functions Inbuilt String functions of Python Reshape functions of Python

5: Statistic

Everything you want to know about statistics….Well sort of!! Mean, Median, Mode
Standard Deviation, Variance, Normal Distribution Hypothesis testing
T-test, Anova, Normality test

6: Linear Regression

Predictive Analytics – Linear Regression Concepts of Linear Regression
Simple and Multiple Linear Regression Automatic Dummy Variables creation technique Model Validation parameters
Model Assumption testing
Splitting of data for Validation and testing
Business Case Study with real data to model in Python

7: Linear Regression Practice Case Study

Participants will be asked to develop a Linear Regression model on a real life data, in presence of the instructor. Time given is 2.5 hours. Participants will be treated like an industry employee, but in terms of help certainly the instructor will not be as ruthless as the boss. After completion of the model (with the help of the instructor wherever it is required), the instructor will show how to present a model to a real life client.

8: Logistic Regression

Predictive Analytics – Logistic Regression Concepts of Logistic Regression
Difference between Linear Regression and Logistic Regression Automatic Dummy Variables creation technique
Model Validation parameters Model Assumption testing
Splitting of data for Validation and testing
Business Case Study with real data to model in Python

9: Logistic Regression Practice Case Study

Participants will be asked to develop a Logistic Regression model on a real life data, in presence of the instructor. Time given is 2.5 hours. Participants will be treated like an industry employee, but in terms of help certainly the instructor will not be as ruthless as the boss. After completion of the model (with the help of the instructor wherever it is required), the instructor will show how to present a model to a real life client.

10:Time Series Forecasting

Time series forecasting: ARIMA
Difference between forecasting and prediction Concepts of time series data
Concepts of ARIMA
Descriptive analytics for ARIMA Development of model
Best model selection Forecasting with the best model Residual analysis
Business Case Study with real data to model in R software
Participants will be asked to develop a model in presence of the instructor.

11: Cluster Analysis

Unsupervised Machine Learning with R Cluster Analysis: Concepts
Cluster analysis with R – K Means, Hierarchical etc.

12: Decision Tree and Random Forest

Concepts of Decision Tree Decision Tree with Python Concepts of Random Forest Random Forest with Python

R Programming

1: Introduction to R Programming Language

Introduction and Installation of R software R packages
Concepts of Vector – Numeric, Character, and Factor Concepts of Data frame
Filtering
Usage of Boolean in Filtering Sorting
Reshape of data using Tidyr package

3: More data handling using R

Pivot Table of Excel in R Table function
Count function of plyr package Learning of SQL queries using R Grouping numeric data
User defined functions (Macros) in R Visualizing of Data

2: Data handling in R

Handling of Missing values If else statement
Extra trick of using if else statement Removal of Duplicates
Merging – Inner, Outer, Left and Right Binding and Appending
Text functions
Data cleaning with efficient text functions Inbuilt Numeric functions of R
Inbuilt String functions of R Inbuilt other functions of

4: Additional functions of R

Date functions with Lubridate package Apply functions
User defined functions (Macros) in R Visualizing of Data

Data Analytics with MS-excel

1: Introduction to Excel

Introduction to Excel Workbook and worksheets Entering data into the spread sheet Undo & Redo Adding Comments
Formatting and conditional formatting All types of borders Moving & Coping and inserting data Finding and replacing Filtering and Sorting of data
Logical operators Practice sessions

3: Analytics with Excel

Pivot Table
Data manipulation with pivot tables Pivot table charts Data visualization with Excel
Practice sessions

2: Different Functionalities of MS Excel

Text to column V-look up Duplicate removal Concatenate
Functions of excel – Logical, Mathematical, Statistical, Others Practice sessions

4: Advanced Analytics with Excel

Pivot Table
Functions of excel – Financial functions What if analysis – Goal Seek, Solver etc. Macros
Analytics using Excel Practice sessions

Download Full Data Science Training Course Syllabus Now

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.

Data Science classroom training in Bangalore

Apponix technologies now offers a data science course in Bangalore, the best data science course in the market, covering the complete Data science concepts from basic to expert. We offer services from training to placements as a part of this data science course. Get answers to all the queries till your course completes.

Data science course in Bangalore Marathahalli Electronics city

Apponix has been offering data science courses since 2014 and has helped a lot of students in getting their dream job. If you want to learn everything about data science from basic to advanced with the industry level experienced trainers, then you should learn from us and get prepared for the future.

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

Who is the father of data science?

William. S

What is the syllabus of data analytics?

The Data Science syllabus essentially comprises of Mathematics, Statistics, Coding, Business Intelligence, Machine Learning algorithms, and Data Analysis.

How long is the Data Science course?

The Data Science course is a training program of around six to twelve months.

Which Analytics course is best?

Data Analyst with R.

How much do Coursera courses cost?

For an individual course of around 4-6 weeks, it costs about $29-$99. For a specialized program, it costs $39-$79.

Which Certification is best for Data Analyst?

Associate Certified Analytics Professional, Certification of Professional Achievement in Data Science, Certified Analytics Professional, etc.

What are the fees for the Data Science course?

The fee structure ranging from Rs.30000 to Rs.100000.

How can I become a data scientist in 6 months?

You have to analyze yourself and try to find out what are the necessary programming skills you need to have.

Do data scientists use Python?

Yes, data scientists use Python for Data Science.

How do I start learning Data Science with Python?

First, learn Python fundamentals. Practice Mini Python projects. Learn Python Data Science Libraries. Build a Data Science Portfolio. Apply advanced data science techniques.

Which institute is good for Data Science in Bangalore?

Apponix Technologies is the best Data Science training institutes in Bangalore which provides services from training to placement.

Data Science Course in Bangalore with Placement

Contact Us

Data Science Course Objectives

Become a IABAC Certified Data Scientist

Authorised Training Partner of IABAC

Who can pursue this certification?

Our Recent Batches

Enroll for any course at Apponix & get 12 Months FREE Access to

LinkedIn Learning (Worth of Rs 15,800) + Advanced Certificate from JainX - The Skilling Academy of JAIN University

With LinkedIn Learning, You Can:

Learn & Get Certificate in Any Technology Courses:

Data Science Course Syllabus

Machine Learning with Python

1:Introduction to Python Programming Language

2: Data handling in Python

3: More data handling using Python

4: Additional functions of Python

5: Statistic

6: Linear Regression

7: Linear Regression Practice Case Study

8: Logistic Regression

9: Logistic Regression Practice Case Study

10:Time Series Forecasting

11: Cluster Analysis

12: Decision Tree and Random Forest

R Programming

1: Introduction to R Programming Language

3: More data handling using R

2: Data handling in R

4: Additional functions of R

Data Analytics with MS-excel

1: Introduction to Excel

3: Analytics with Excel

2: Different Functionalities of MS Excel

4: Advanced Analytics with Excel

Students Feedback for Data Science in Bangalore

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Apponix Ratings

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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

Data Science classroom training in Bangalore

Data science course in Bangalore Marathahalli Electronics city

Popular Trending Courses

Data Science Job Responsibilities

Trending Technical Updates

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FAQs

What is Data Science ?

What will I learn in this Data Science training?

What are the Job roles for candidates with knowledge in Data Science

Why you should choose Apponix?

Industries for Data Analytics Jobs in India

Top 10 Companies that hire Data analytics professionals

Who is the father of data science?

What is the syllabus of data analytics?

How long is the Data Science course?

Which Analytics course is best?

How much do Coursera courses cost?

Which Certification is best for Data Analyst?

What are the fees for the Data Science course?

How can I become a data scientist in 6 months?

Do data scientists use Python?

How do I start learning Data Science with Python?

Which institute is good for Data Science in Bangalore?

LinkedIn Learning (Worth of Rs 15,800) +
Advanced Certificate from JainX - The Skilling Academy of JAIN University

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.