Presentation
With this course, you will be able to obtain the Data Science certification from IBM
Objectives
Salary
Salaries for big data careers are increasing just as quickly as the demand for skilled professionals. Many of these jobs report compensation well into the six-figure range and above market pay in order to compete in the talent war.
According to Glassdoor, the average salary range for a data analyst is between €59,303 and €104,466. However, in Germany, Sweden, and Ireland, the national annual average salary for a data analyst is €84,239, €75,531, and €76,791 respectively.
Annual Salary Range: $127,750-$176,500+
These professionals are tasked with designing the structure of complex data frameworks, as well as building and maintaining these databases. Data architects develop strategies for each subject area of the enterprise data model and communicate plans, status, and issues to their company’s executives.
Annual Salary Range: $113,500-$162,500+
Data scientists design and construct new processes for modeling, data mining, and production. In addition to conducting data studies and product experiments, these professionals are tasked with developing prototypes, algorithms, predictive models, and custom analysis.
Annual Salary Range: $87,500-$126,250+
Data analysts work with large volumes of data, turning them into insights businesses can leverage to make better decisions. They work across a variety of industries—from healthcare and finance to retail and technology.
Data analysts work to improve their own systems to make relaying future insights easier. The goal is to develop methods to analyze large data sets that can be easily reproduced and scaled.
Job opportunities
Our courses do not have a start and end date. With Tokio’s 100% online training programme, you decide your pace, circumstances and capabilities and we follow you. Ours is «tailor-made» learning.
They are your teachers, experts with real knowledge that will help you to improve your knowledge of this profession.
Our educational advisors will accompany you throughout your training. They will help you achieve your goals through realistic objectives, organisation and motivation for tokiers!
Self-assessment questionnaires, final exams, exercises, case studies… Learning by doing! You will learn by doing. In addition, you will have up to 300 hours of quality professional internships in companies in the sector.
You will have live classes. And if you have not been able to attend, no problem! We’ll upload them to the virtual platform so you can watch them as many times as you want.
You’re almost there! To conclude your training, you’ll have to demonstrate everything you’ve learned through a project.
You will receive extra training to improve your skills (communication, leadership, teamwork…) thanks to our short courses.
We will give you all the keys to succeed in any selection process.
We put at your disposal, on the student platform, an Employment Observatory where you will find the best job opportunities according to your preferences and your sector.
Your classes
You will be able to attend online masterclasses given by renowned professionals in the sector who collaborate with Tokio School by sharing their experiences. These sessions will also be participative and you will be able to ask them your questions.
Online platform
the protagonist of the learning process.
Content overview
Unit 1: Big Data ecosystem
- Component definition and architecture
- Availability, Scalability and Resilience
- Introduction to Hadoop and MapReduce
Unit 2: Data-Driven Strategies
- Dashboards
- Business intelligence vs big data
Unit 3: Processing environments
- Cloud Computing
- Internet of Things (IoT)
Unit 4: Big Data use cases: examples from industry
Unit 1: Data
- The Data
- Data quality
- Data rights
Unit 2: Data life cycle
- Data Creation and Acquisition
- Extraction, Processing and Loading
- Data Warehousing
- Analysis for exploitation
- Visualisation and Storytelling for exploitation
- Selection of visual elements
- Decision-making
Unit 1: Distributed databases
- Type of scalability
- Vertical scalability
- Horizontal scalability
- Non-distributed databases
- CAP Theorem
Unit 2: NoSQL
- Relational databases
Unit 3: NoSQL – Key-value
Unit 4: NoSQL – Columnars
- Architecture
- Data modelling in Cassandra
- Cassandra Query Language – CQL
- CQL – Data model creation
- Keyspace
- Table
Unit 5: NoSQL – Document-oriented
Unit 6: NoSQL – Graph-oriented
Unit 1: Hadoop ecosystem
- Introduction to Hadoop
- Hadoop Ecosystem Tools
Unit 2: Cluster and distributed systems (HDFS, MapReduce)
Unit 3: Data analysis with Hive and Pig
Unit 4: Data processing with Spark
- Spark RDD (Resilient Distributed Datsets)
- Spark Streaming
- Spark SQL
Unit 1: Data profiles
- Data Scientists
- Data engineer
Unit 2: Exploratory Data Analysis
- Descriptive statistics
- Data distribution
- Exploration of categorical and binary data
- Correlation
- Exploration of 2 or more variables
Unit 3: Data sampling techniques
- Random selection
- Bias selection
- Selection by statistical distribution
Unit 4: Hypothesis testing
- A/B sample testing
- Hypothesis testing
- Statistical significance and P-value
- P-value
Unit 5: Regression and Prediction
- Linear Regression
- Multilinear Regression
- Interpreting regression results
- Predicting using regression
Unit 6: Supervised learning
Unit 7: Unsupervised learning
- Main components
- Algorithms: K-Means, Hierarchical Clusters.
Unit 8: Introduction to Deep Learning
- Fundamental concepts
- Neural Networks
Unit 1: Presentation of a Big Data project
- The importance of context
- The audience and its importance
Unit 2: Components for the presentation of a Big Data project
Sukiru: soft skills for digital samurai
Sukiru: soft skills for digital samurai
You will receive extra training to improve your skills (communication, leadership, teamwork…) thanks to our short courses.
#alwaysforward
Digital teachers
Time to get on the tatami
Do you want to show what you’re worth? At Tokio School we have agreements with more than 3,000 companies in the technology and digital sector. You can do up to 300 hours of optional internships while expanding your network and your CV. Where would you like to do an internship? Suggest companies! You will be part of Tokio Net, our network of students and alumni.
Certifications
Once you have finished your training you will receive the following qualifications:
We are Tokio
We’re not the kind of people who like to pin medals on themselves, but if others do…
TOP Educational Agreements
Contact
Training is not approved for official academic purposes.