Data Science & Analysis Services
Data Science
It is an interdisciplinary field that involves using scientific methods, algorithms, and systems to extract knowledge and insights from all types of data. Techniques from machine learning, data mining, and strategical analysis uncover patterns and trends in data, then use this knowledge to make data-driven decisions and predictions. They also use programming languages like Python and R to work with data and build models. It’s a constantly evolving field with new techniques, tools, and technologies emerging.
Building Algorithms and Defining Data Processing
Data Processing in Batches or Real-Time
Presentation of Data and Provision of Useful Insights.
Creating, Maintaining and monitoring a Reliable Infrastructure
Analyze Hybrid Data, Anticipate Problems, and Solve Them.
Data Engineering
- Spark
- HIVE
- Presto
- Pig
- Sqoop
- Talend
- Pentaho
- Apache Kafka
- HDFS
- HBASE
- Scribe
- Mapreduce
- Flume
- Informatica
- Airflow
Monitoring Tools
- Icinga
- Ganglia
- Prometheus
- Nagios
- Graphite
Data Warehouses
- Impala
- Aws Redshift
- Hp Vertica
- Azure SQL DW
NoSQL DB
- Mongodb
- Cassandra
Data Modelling Tools
- Erwin
- Erstudio
- Omnigraffle
- Idef1x
- Ddl
- Dml
- Uml
Development Languages
- Python
- Java
- Scala
- R
Data Analytics
- Tableau
- Spotfire
- Microstrategy
- AWS Quicksight
- Data Lake Analytics
- Azure Analysis Services
Log Management
- Splunk
- Logstash
Cutting-edge
technologies
100+
Satisfied Customers
300+
Projects completed
Frequently Asked Questions
Our company offers a wide range of data science services, including data analysis and visualization, machine learning model development, predictive analytics, and big data processing. We also offer services such as data mining, natural language processing, and computer vision.
We have experience working with a variety of industries, including finance, healthcare, retail, and manufacturing. Our team of data scientists and engineers has the expertise to work with companies in any industry.
Our team of experts follows strict quality assurance processes to ensure that all deliverables meet or exceed client expectations. We also use the latest techniques and tools to ensure the accuracy of our work.
Our company takes data privacy and security very seriously. We have strict policies and procedures in place to protect client data, including encryption, secure storage, and access controls. We also comply with all relevant data privacy laws and regulations.
Our company works closely with clients to understand their specific needs and goals. We then develop a tailored solution that addresses those needs and helps our clients achieve their goals. We also provide regular updates and progress reports to ensure that our clients are aware of our progress and that the project is on track.
A company can contact us with a brief description of their project and we will schedule a discovery call to understand their requirements in more detail. We will then work together to develop a tailored solution that meets their needs.
To get started, please contact us to schedule a consultation with one of our data science experts. During the consultation, we will discuss your business needs and determine how our data science service can help you achieve your goals.
Our data science team follows a rigorous quality control process to ensure the accuracy of our data analysis. This includes data cleaning, validation, and verification, as well as testing and evaluating the performance of our models.
Our data science team has expertise in various tools and technologies such as Python, R, SQL, SAS, Tableau, Hadoop, Spark, TensorFlow, Scala, and many more. We also continuously stay updated with the latest trends and technologies in data science to ensure that we are providing the best solutions to our clients.
The cost of the data science service varies depending on the specific project and the services required. Please feel free to contact us for a customized quotation.