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Capital University 2022
Master of Computer Applications (M.C.A.)
Bangar Nagar, Yavatmal, India - 445001
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Board
CBSE, State
Preferred class strength
One on one/ Private Tutions, Group Classes
Subjects taught
Political Science, English, History, Economics, Computer Science, Geography
Taught in School or College
No
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
4
Course Duration provided
1-3 months
Seeker background catered to
Individual, Educational Institution
Certification provided
Yes
Python applications taught
PySpark, Data Science with Python, Core Python
Teaching Experience in detail in Python Training classes
Training Structure A. Basics of Python Introduction What is Python, and why is it popular? Installation and setup (Python, IDEs like PyCharm or VS Code). Python Basics Variables, data types, and operators. Input/output functions. Control flow: if, elif, and else. Data Structures Lists, tuples, dictionaries, and sets. String manipulation.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Big Data Training
3
Big Data Technology
Apache Spark, Hadoop
Teaching Experience in detail in Big Data Training
Training Structure A. Basics of Big Data Introduction to Big Data concepts and challenges. Overview of Hadoop and Spark. Installation and setup of Hadoop and PySpark. B. Hadoop Training HDFS Architecture, commands, and replication. Hands-on: File storage and retrieval. MapReduce Writing and running MapReduce jobs. Hands-on: Word count, sorting, and log analysis. Ecosystem Tools Hive: Writing SQL-like queries. PySpark Training Spark Core Setting up PySpark environment. RDD operations: transformations and actions. DataFrames and Spark SQL Creating and manipulating DataFrames. Running SQL queries on DataFrames.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
4
Data analysis concepts taught
Cluster Analysis, Prediction Analytics, Survival Analysis, Stochastics Processes, Time Series Analysis, Regression Analysis
Teaching Experience in detail in Data Analysis Classes
I have 4 years of experience in Data Analysis Training.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Machine learning, Artificial Intelligence, Python
Teaching Experience in detail in Data Science Classes
We are the IT Company and training institute based in Pune. We have more than 10 years of experience in data science.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Business Analysis Training Classes
10
Teaching Experience in detail in Business Analysis Training Classes
We are the IT company and training institutions based in Pune. We have more than 10 years of experience in Business Analytics.
Answered on 01/12/2024
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Answers 363 
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Board
CBSE, State
Preferred class strength
One on one/ Private Tutions, Group Classes
Subjects taught
Political Science, English, History, Economics, Computer Science, Geography
Taught in School or College
No
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Python Training classes
4
Course Duration provided
1-3 months
Seeker background catered to
Individual, Educational Institution
Certification provided
Yes
Python applications taught
PySpark, Data Science with Python, Core Python
Teaching Experience in detail in Python Training classes
Training Structure A. Basics of Python Introduction What is Python, and why is it popular? Installation and setup (Python, IDEs like PyCharm or VS Code). Python Basics Variables, data types, and operators. Input/output functions. Control flow: if, elif, and else. Data Structures Lists, tuples, dictionaries, and sets. String manipulation.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Big Data Training
3
Big Data Technology
Apache Spark, Hadoop
Teaching Experience in detail in Big Data Training
Training Structure A. Basics of Big Data Introduction to Big Data concepts and challenges. Overview of Hadoop and Spark. Installation and setup of Hadoop and PySpark. B. Hadoop Training HDFS Architecture, commands, and replication. Hands-on: File storage and retrieval. MapReduce Writing and running MapReduce jobs. Hands-on: Word count, sorting, and log analysis. Ecosystem Tools Hive: Writing SQL-like queries. PySpark Training Spark Core Setting up PySpark environment. RDD operations: transformations and actions. DataFrames and Spark SQL Creating and manipulating DataFrames. Running SQL queries on DataFrames.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
4
Data analysis concepts taught
Cluster Analysis, Prediction Analytics, Survival Analysis, Stochastics Processes, Time Series Analysis, Regression Analysis
Teaching Experience in detail in Data Analysis Classes
I have 4 years of experience in Data Analysis Training.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Machine learning, Artificial Intelligence, Python
Teaching Experience in detail in Data Science Classes
We are the IT Company and training institute based in Pune. We have more than 10 years of experience in data science.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Business Analysis Training Classes
10
Teaching Experience in detail in Business Analysis Training Classes
We are the IT company and training institutions based in Pune. We have more than 10 years of experience in Business Analytics.
Answered on 01/12/2024
Ask a Question
Post a Lesson
Like 0 Answers 363 Comments Ask a Question
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