Data analytics isn’t just about the future, it is being put to use at this very moment in all businesses. It forms an integral part of the company and the professionals are paid highly for their part.
After the completion of the Data Analytics Course, you will be able to:
Understand Scala & Apache Spark implementation
Spark operations on Spark Shell
Spark Driver & its related Worker Nodes
Spark + Flume Integration
Setting up Data
Pipeline using Apache Flume, Apache Kafka & Spark Streaming Spark RDDs, and Spark Streaming Spark MLib:
Creating Classifiers & Recommendations systems using MLib
Spark Core concepts: Creating of RDDs: Parrallel RDDs, MappedRDD, HadoopRDD, JdbcRDD. Spark Architecture & Components
Spark SQL experience with CSV, XML & JSON
Reading data from different Spark sources
Spark SQL & Dataframes Develop and Implement various Machine Learning Algorithms in daily practices & Live Environment
Building Recommendation systems and Classifiers Perform various types of Analysis (Prediction & Regression)
Implement plotting & graphs using various Machine Learning
Libraries Import data from HDFS & Implement multiple
Machine Learning Models Building Different Neural networks using NumPy and TensorFlow
Power BI Visualization
Power BI Components
Power BI Transformations
Dax functions
Data Exploration and Mapping Designing
Dashboards Time Series, Aggregation & Filters
Placement
Gyansetu is providing complimentary placement services to all students. Gyansetu Placement Team consistently works on industry collaboration and associations that help our students find their dream job right after training.
Why Choose us?
Gyansetu trainers are well known in Industry, and are highly qualified and currently working in top MNCs. We provide interaction with faculty before the course starts.
Our experts help students in learning Technology from the basics, even if you are not good at basic programming skills, don’t worry! We will help you. Faculties will help you in preparing project reports & presentations. Students will be provided Mentoring sessions by Experts.
Top comments (1)
hi,
how we can learn this course