Data science and machine learning certification
Boost Up Your Career
Scale up your career with Talent Arabia’s uniquely crafted data science and machine learning course, designed and delivered by best trainers.
Why join data science and machine learning certification?
Course overview
This data science and machine learning certification course will help you scale up your career. This course covers important topics like statistics, data analysis, data visualization, machine learning, deep learning, SQL, R, Python, and much more.
Key features
Tools covered
Course curriculum
Statistics is the science of assigning a probability to an event based on experiments. It is the application of quantitative principles to the collection, analysis, and presentation of numerical data. Ace the fundamentals of Data Science, statistics, and Machine Learning with this course. It will enable you to define statistics and essential terms related to it, explain measures of central tendency and dispersion, and comprehend skewness, correlation, regression, and distribution. You will be able to make data driven predictions through statistical inference.
- Lesson 1-Introduction to Statistics
- Lesson 2-Understanding the Data
- Lesson 3-Descriptive Statistics
- Lesson 4-Data Visualization
- Lesson 5-Probability
- Lesson 6-Probability Distributions
- Lesson 7-Sampling and Sampling Techniques
- Lesson 8 -Inferential Statistics
- Lesson 9-Application of Inferential Statistics
- Lesson 10-Relation between Variables
- Lesson 11-Application of Statistics in Business
Business Analytics with Excel training will boost your analytics career with powerfulnew Microsoft Excel skills.This business analytics training course will equip you withthe concepts and hard skills required for a strong analytics career. You’ll learn the basic concepts of data analysis and statistics to promote data-driven decision-making. Your new knowledge of this commonly used tool combined with an official business analytics certification is guaranteed to ensure career success.
- Lesson 1- Introduction to Business Analytics
- Lesson 2- Formatting, Conditional Formatting, and Important Functions
- Lesson 3- Analyzing Data with Pivot Tables
- Lesson 4- Dashboarding
- Lesson 5- Business Analytics with Excel
- Lesson 6- Data Analysis Using Statistics
SQL, or Structured Query Language, is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). SQL is the most common language used to access databases because it can work with any database. The databases with which you interface are programs that enable clients to store and manage information in a logical manner.
- Lesson-01- Introduction
- Lesson-02- Introduction to SQL
- Lesson-03- Database Normalization and Entity Relationship (ER) Model
- Lesson-04- Installation and SetUp
- Lesson-05- Working with Databases and Tables
- Lesson-06- Working with Operators, Constraints, and Data Types
- Lesson-07- Functions in SQL
- Lesson-08- Subqueries, Operators, and Derived Tables in SQL
- Lesson-09- Windows Functions in SQL
- Lesson-10- Working with Views
- Lesson-11- Stored Procedures and Triggers in SQL
- Lesson-12- Performance Optimization and Best Practices in SQL
This Data Science with Python course will establish your expertise of data science and analytics techniques using Python. With this Python for Data Science course, you’ll learn the essential concepts of Python programming and gain in-depth knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Python is a required skill for many data science positions, so jump start your career with this interactive, hands-on course.
- Lesson 01 - Data Science Overview
- Lesson 02- Data Analytics Overview
- Lesson 03- Statistical Analysis and Business Applications
- Lesson 04- Python Environment Setup and Essentials
- Lesson 05- Mathematical Computing with Python (NumPy)
- Lesson 06 - Scientific Computing with Python (SciPy)
- Lesson 07 - Data Manipulation with Pandas
- Lesson 08 - Machine Learning with Scikit-learn
- Lesson 09 - Natural Language Processing with Scikit-learn
- Lesson 10 - Data Visualization in Python using Matplotlib.
- Lesson 11 - Web Scraping with Beautiful Soup
- Lesson 12 - Python Integration with Hadoop, MapReduce, and Spark
Talent Arabia’s Machine Learning course will make you an expert in Machine Learning, a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for your role as a Machine Learning professional.
- Lesson 01 - Introduction to Artificial Intelligence and Machine Learning
- Lesson 02: Data Wrangling and Manipulation
- Lesson 03: Supervised Learning
- Lesson 04: Feature Engineering
- Lesson 05: Supervised Learning-Classification
- Lesson 06: Unsupervised Learning
- Lesson 07: Time Series Modelling
- Lesson 08: Ensemble Learning
- Lesson 09: Recommendation Systems
- Lesson 10: Text Mining
This Tableau course helps you understand how to build visualizations, organize data, and design charts and dashboards to make more meaningful business decisions. You’ll be exposed to the concepts of data visualization, different combo charts and stories, working with filters, parameters and sets, and building interactive dashboards.
- Lesson 01 - Getting Started with Tableau
- Lesson 02 - Core Tableau in Topics
- Lesson 03 - Creating Charts in Tableau
- Lesson 04 - Working with Metadata 17
- Lesson 05 - Filters in Tableau
- Lesson 06 - Applying Analytics to the Worksheet
- Lesson 07 - Dashboards in Tableau
- Lesson 08 - Modifications to Data Connections
- Lesson 09 - Introduction to Level of Details in Tableau (LODS)
Course pricing
We provide following options for payment
- Internet Banking
- Direct Bank Transfer
- Credit/Debit Card
Data science and machine learning certification FAQs
This Data Science course in will equip you with many competencies and skills so that you can contribute to a wide array of responsibilities in a job within the data science field. Also, Data Science is an evolving field and new job roles and designations keep on opening up. After taking this program, you can become eligible for a wide range of job roles such as Data Analyst, Data Science Generalist, Data Scientist, ML Analyst, ML Engineer, ML Scientist, AI Analyst, AI Engineer, AI/ML Developer, Business Intelligence Analyst, Associate Data Scientist, Data Architect, Business Intelligence Developer, Deep Learning Engineer, Decision Scientist, Data Visualization Specialist, and many others.
The learners will be provided with individual certificates for respective courses post completion and the learners will also be provided with a masters certificate adhering to the completion criteria.
Anyone who holds an engineering or statistics degree or any of the MCA/ M.Sc (IT)/ MBA/ BCA/ B.Sc (IT) degrees from an accredited institution.
Contact us using the form on the right side of any page on the Talent Arabia website, select the Live Chat link, or contact Help & Support.