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Data Science

LIVE
6 reviews
Ongoing

Course offered by Skill Sigma

29 reviews

Certified Data Science & Analytics Engineer

Key Highlights

 
Experienced mentors with industry accreditation. Having mentored more than 200000 learners with various skills across industries.
 
Experimental Learning with the ability to apply your learning on projects as it happens in the industry. Get project, Interview & Career ready.
 
Adaptive learning plans with classes available online or in-class. Sessions available on weekends as well to accommodate your work schedules.
 
Course completion certificate from Skill Sigma, an acknowledged learning services provider for over a decade with proven industry partnerships.
 
 
 

Course Includes

 

1- Introduction to Data Science

Data Science

2- Introduction to Statistics

  • Introduction
  • Basic Statistics
  • Useful statistics in Analytics & Data Science
  • Central Tendency
  • Normal Distribution
  • Hypothesis Testing

 

R Programming for Data Science & Analytics

Introduction to R

  • Math, Variables, and Strings
  • Vectors and Factors
  • Vector operations

Data structures in R

  • Arrays & Matrices
  • Lists
  • Data frames

R programming fundamentals

  • Conditions and loops
  • Functions in R
  • Objects and Classes
  • Debugging

Working with data in R

  • Reading CSV and Excel Files
  • Reading text files
  • Writing and saving data objects to file in R

Strings and Dates in R

  • String operations in R
  • Regular Expressions
  • Dates in R

Python Programming for Data Science

Introduction to Python

  • Python History
  • Python Applications
  • Python Install, Python Path
  • Python Example, Execute Python

Datatypes, declarations and comments

  • Python Variables and Data Types
  • Python Keywords
  • Python Literals, Python Comments
  • Sample Programs for the above
  • Arithmetical Operators
  • Relational Operators
  • Logical Operators
  • Assignment operators
  • Sample programs for the above

Conditional Statements

  • Simple IF, If and Else, Nested If
  • Sample program using if conditions

Python Loops

  • Python for loop, Python while loop

Python Loops

  • Python break, Python continue, Python pass

Python Data Structures or Collections

  • Lists
  • Tuples
  • Named Tuple
  • Sets (Default set, Frozen Set, Union, Intersect, Minus)

Dictionaries

  • Un-ordered Dictionary
  • Ordered Dictionary
  • ChainMap
  • Counter

Python String handling and functions

    • Handling string format with f-string
    • capitalize(),center(),count(),endswith(),format(),rjust(), ljust()
    • len(),replace(),upper(),lower(),split()with Examples

Number functions

      • abs() ,ceil(), floor(), cmp(), exp(), log(), log10()
      • min(), max(), power(), round(), sqrt()With Examples

Date Functions

      • import datetime module
      • now(),datetime()
      • import calendar
      • calender.month(),calendar.prcal(2019)
      • import time

User defined functions in Python

      • required argument function
      • keyword argument function
      • varying argument Functions
      • Default argument functions
      • Position only parameter functions

File Handling in Python

    • Python Files I/O
    • create file using “r”, “w” ,”a” modes

Machine Learning for Data Science

Machine Learning For Data Science & Analytics
Machine learning vs. Statistical modelling
Supervised vs. Unsupervised Learning

  • Machine Learning Languages, Types, and Examples
  • Machine Learning vs Statistical Modelling
  • Supervised vs Unsupervised Learning
  • Supervised Learning Classification
  • Unsupervised Learning

Supervised Learning

  • Understanding nearest neighbour classification
  • The KNN algorithm
  • Measuring similarity with distance
  • Choosing Appropriate K
  • Use Case

Classification Using Naïve Bayes

  • Basic Concepts of Bayesian Methods
  • Probabilistic Learning

Classification using Decision Trees

  • The C5.0 decision tree algorithm
  • Understanding Classification Rules
  • Separate and Conquer
  • Rules from decision trees
  • Advantages & Disadvantages of Decision Trees

Understanding Regression

  • Simple Linear Regression
  • Ordinary least Square estimation

Correlations
Multiple Linear Regression

Support Vector Machines

  • Classification with Hyper planes
  • Using Kernels for non-linear spaces

Unsupervised Learning
Association Rules – Pattern detection

  • K-Means Clustering plus Advantages & Disadvantages
  • Hierarchical Clustering plus Advantages & Disadvantages
  • Measuring the Distances Between Clusters – Single Linkage Clustering
  • Measuring the Distances Between Clusters – Algorithms for Hierarchy Clustering
  • Density-Based Clustering

Neural Networks

  • Black Box Methods
  • Training neural networks with backpropagation
    • ANN – Artificial Neural Networks
    • CNN – Convolutional Neural Networks

Evaluating Model Performance
Improving Model Performance

 

Data Visualization with Tableau

Customizing a Data Source

  • Filtering Your Data
  • Sorting Your Data
  • Creating Groups in Your Data
  • Creating Hierarchies in Your Data
  • Working with Date Fields: Discrete and Continuous Time
  • Working with Date Fields: Custom Dates
  • Working with Multiple Measures: Dual Axis and Combo Charts
  • Working with Multiple Measures: Combined Axis Charts
  • Showing Relationships between Numerical Values
  • Mapping Data Geographically
  • Using Crosstabs: Totals and Aggregation

Using Crosstabs: Highlight Tables

  • Using Crosstabs: Heat Maps
  • Using Calculations: Customize Your Data
  • Using Calculations: Working with Strings, Dates, and Type Conversion Functions
  • Using Calculations: Working with Aggregations
  • Using Quick Table Calculations to Analyze Data
  • Showing Breakdowns of the Whole
  • Highlighting Data with Reference Lines
  • Create a Dashboard: Combining Your Views
  • Create a Dashboard: Add Actions for Interactivity
  • Sharing Your Work

Working with a Data Extract

  • Joining Tables
  • Blending Multiple Data Sources
  • Blending Data without a Common Field
  • Using Split and Custom Split
  • Advanced Calculations: Aggregating

Dimensions

  • Controlling Table Calculations
  • Showing the Biggest and Smallest Values
  • Using Level of Detail Expressions
  • Filtering and LOD Expressions
  • Using Parameters to Control Data in the View
  • Parameters: Swap Measures

Using Sets to Highlight Data

  • Advanced Mapping: Modifying Locations
  • Advanced Mapping: Customizing Tableau’s Geocoding
  • Advanced Mapping: Using a Background Image
  • Viewing Distributions
  • Comparing Measures Against a Goal
  • Showing Statistics and Forecasting: Use the Analytics Pane and Trend Lines Advanced

Dashboards: Using Design Techniques and Filter Actions
Telling Stories with Data

Artificial Intelligence for Everyone (AI)

What is AI Applications and Examples of AI
Data
Machine learning
what makes an AI organizations

Workflow of Machine learning project
Workflow of Data Science project
What machine learning can do and cannot do

The Future with AI, and AI in action
The Journey for adopting AI successfully
Career in AI

Technical Tools for AI team
Pytorch,Keras,Scikit-learn,R or Weka
Machine learning opensource frameworks

 

Gallery (31)

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About the Trainer

4.6 Avg Rating

29 Reviews

90 Students

19 Courses

Skill Sigma

MSc Statistics, Oracle Certified Professional

She is a technocrat with over 14 years of rich experience as a trainer and currently is the competency head at The Skill Enhancers in the Oracle, DBA and BI. She has imparted high quality training in technologies like Oracle, Teradata, MySQL, Informatica, ABinitio and COGNOS.

Areas of Expertise:
Databases (DBA) :
Oracle 8i / 9i / 10g / 11g/ 12c: SQL, PLSQL, Administration, Performance Tuning, SQL Statement Tuning, New Features, Streams, ASM, Dataguard, Real Application Clusters
Teradata Versions 11/12/13: Basics, SQL, Architecture, BTEQ & Utilities, SQL Statement Tuning
My SQL: Development and Administration
ETL: Oracle 11g : Warehouse Builder (OWB), Informatica 9 / 8.x , COGNOS, Ab Initio
Business Intelligence : Cognos 8 , Oracle OBIEE

Professional Experience:
Head Technology at The Skill Enhancers (TSE). In the past, she has worked for Wilshire Software Technologies, Software Technology International Ltd, Software Solution Integrated Ltd. and Compusoft in different technical positions involving Systems analysis, design, development and implementation of application software and training.
More than 500 programs executed for various corporates on the database, data-warehousing, Business Intelligence and Analytics.

Education:
MSc in Mathematics from Osmania University
Diploma in Citation in Application Programming.
Corporate Training conducted
Associated with more than 150 corporates, some note-worthy clients are Accenture India, Capgemini, CA, CISCO Systems, Deloitte Consulting, JDA, Oracle India, Oracle University, Wipro Technologies, Infosys Technologies, Societe Generale, Verizon, SUMTOTAL, GENPACT

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4 out of 5 6 reviews

Skill Sigma https://www.urbanpro.com/assets/new-ui/institute-100X100.png HITEC City
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Skill Sigma
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Data Science

""I enrolled for data science class in skill sigma.Very good olace to learn Software languages. Environment was good and free to learn". "

Skill Sigma
K

Data Science - Machine Learning & Artificial Intelligence

"The classes were amazing, fun to learn and very interesting. The credit goes to Madam Lakshmi Padmasree who is a very dedicated, patient and supportive teacher. After a break of 20 years she got me to do programming smoothly. She motivated me at every step boosting my self confidence to further explore Big Data Science. I am enjoying the deep learning experience through an expert. Skill Sigma is a one stop to upgrade your knowledge at an effordable price. They have a brilliant supporting team - Mr Koti & Miss Muskaan.I am deeply impressed & grateful to have such dedicated people to always guide me. "

Skill Sigma
A

Data Science

"I enrolled data science training at Skill Sigma - Hyderabad few days back. I am really impressed with their training approach and trainers skills. They provide you real time use cases and helps you to understand and solve them. Clearly this is one of the finest data science institute in the Hyderabad. I am really happy that I joined here after all my research about best data science institutions in Hyderabad. "

Skill Sigma
M

Data Science - Python, R Programming, Machine Learning, Artificial Intelligence, Tableau - Visualization, Analytics, Big Data Hadoop, Apache Spark, Scala

"Good study environment and trainers. A place where all your questions get answered. Be a hard worker if you are joining this and also a time giver. "

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4 out of 5 6 reviews

Skill Sigma https://www.urbanpro.com/assets/new-ui/institute-100X100.png HITEC City
4.9056
Skill Sigma
N

Data Science

""I enrolled for data science class in skill sigma.Very good olace to learn Software languages. Environment was good and free to learn". "

Skill Sigma
K

Data Science - Machine Learning & Artificial Intelligence

"The classes were amazing, fun to learn and very interesting. The credit goes to Madam Lakshmi Padmasree who is a very dedicated, patient and supportive teacher. After a break of 20 years she got me to do programming smoothly. She motivated me at every step boosting my self confidence to further explore Big Data Science. I am enjoying the deep learning experience through an expert. Skill Sigma is a one stop to upgrade your knowledge at an effordable price. They have a brilliant supporting team - Mr Koti & Miss Muskaan.I am deeply impressed & grateful to have such dedicated people to always guide me. "

Skill Sigma
A

Data Science

"I enrolled data science training at Skill Sigma - Hyderabad few days back. I am really impressed with their training approach and trainers skills. They provide you real time use cases and helps you to understand and solve them. Clearly this is one of the finest data science institute in the Hyderabad. I am really happy that I joined here after all my research about best data science institutions in Hyderabad. "

Skill Sigma
M

Data Science - Python, R Programming, Machine Learning, Artificial Intelligence, Tableau - Visualization, Analytics, Big Data Hadoop, Apache Spark, Scala

"Good study environment and trainers. A place where all your questions get answered. Be a hard worker if you are joining this and also a time giver. "

Skill Sigma
A

Data Science - Python, R Programming, Machine Learning, Artificial Intelligence, Tableau - Visualization, Analytics, Big Data Hadoop, Apache Spark, Scala

"Good training, great institute, wonderful trainer. I have attended the training program for Data Science and Analytics. It was a comprehensive program with Big Data, Hadoop, Python, R, Machine Learning and Deep Learning. The trainer was great with wonderful interaction, knowledge. Whole program was very interesting with practicals and use cases. The post program support, reference materials, resume building and career guidance are also very helpful. "

Reply by Skill

Thank you Ameet. It was indeed a pleasure having you with us. Congratulations on the successful completion and also getting the placement immediately.

Skill Sigma
K

Big Data Analytics with Apache Spark, Scala, Kafka and Python Machine Learning

"I have had an opportunity to attend training on Big Data Full Stack along with Machine Learning, it was one of the best training's that i have attended till date, a very professional training Institute, with great content and coverage the best thing i liked was the Live Project and demos and a single faculty who handled the complete session. "

Reply by Skill

Hi Krishna Thank you very much for the feedback about our program. Happy to be associated with you and looking forward to more such support in future. Please keep visiting our website www.skillsigma.com or our profile on Urban Pro. Best of luck and happy skilling... Team Skill Sigma

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