Data Science Course
Immersive learning with a 32-hour interactive course
Built around 9 interactive learning modules
Learn foundational concepts of data science techniques
Gain hands-on experience with real-world datasets
Understand ethical considerations in data science
Enhance career opportunities in data-driven industries
4.85/55445 EnrolledEnrolled Learners
Overview
What our training includes:
- Explore data collection and pre-processing techniques
- Master data visualisation using modern tools
- Gain expertise in machine learning algorithms
- Understand statistical methods for analysing data
- Learn programming with Python and R languages
- Study big data concepts and frameworks deeply
- Understand data wrangling and cleaning methods
Upcoming sessions
Curriculum
- •Business Analytics vs Big Data vs Data Science
- •Components of Data Science: Venn diagram
- •Understanding Data Science Pipeline
- •Roles and Jobs in Data Science in the Market
- •Data Science Team Structure
- •Business / Domain Knowledge
- •Hacking / Programming Skills
- •Statistics
- •Machine Learning
- •Reading from existing data from flat files and database
- •APIs
- •Web Scraping
- •Other data-gathering methods
- •Hands-on importing data
- •Basic Statistics
- •Exploratory Graphs
- •Exploratory Statistics
- •Programming basics
- •Python overview
- •R overview
- •SQL
- •Hypothesis Testing
- •Confidence
- •Validating
- •Decision trees
- •Ensembles
- •k-nearest neighbors (kNN)
- •Naive Bayes classifiers
- •Artificial neural networks
- •Introduction to Visual Analytics
- •Interpretability
- •Actionable insights
- •Various Graphical Representations
- •Data Science Learning sources
- •Data Science relevance in your career
- •How should a data scientist’s resume look like
- •Tips on job applications
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
Upon course completion, you will be able to:
1
Identify the differences between Big Data, Data Science and Business Analytics
2
Develop skills in domain knowledge, programming, statistics and machine learning
3
Learn methods for importing master data including flat files, databases, web scraping and APIs
4
Utilise basic statistics and exploratory graphs to gain insights from the data
5
Acquire proficiency in Python, R and SQL for data manipulation and analysis
6
Apply hypothesis testing, confidence intervals and validation techniques in practical scenarios
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
The prerequisites to apply for the Data Science course are as follows:
- Academic Prerequisites: It is necessary to possess a degree in computer science, mathematics, statistics, business information systems, information management, or a related discipline at the undergraduate or graduate level
- Mathematics/Statistics Prerequisites: Knowledge of statistics and probability, understanding of Multivariable Calculus & deep understanding of Linear Algebra
- Programming Prerequisites: Skills in Python & Knowledge of Excel
Overall ratings by our students
Related courses
Frequently asked questions
The Data Science Course is an entry-level certification providing individuals with the expertise of data analysis and advances in their data-driven roles. It is quite beneficial to individuals who wish to start their careers in data science and data analysis. Some of these benefits are:
1. High Demand Across Industries
2. Mastery of Advanced Tools and Techniques
3. Pathway to Advanced AI and Big Data Roles
4. Networking Opportunities with Industry Experts
Several candidates can enrol in the Data Science course to ensure that they have prosperous careers in data science and visual analysis. These candidates can be both beginners or experienced in the field to apply for the certification course. These individuals are:
1. IT professionals
2. Data analysts
3. Data engineers
4. Individuals interested in data-driven careers
There are several job opportunities that an individual can get once they complete the training in all regions including Dubai. These individuals master their skills in data science and visual analysis. Some of the following job opportunities are:
1. Data Analyst
2. Business Analyst
3. Data Scientist
4. Machine Learning Engineer
5. Data Mining Engineer
6. Data Architect
There are several tools and software covered in the Data Science Course by our expert trainers in all regions including Dubai. These tools are crucial for understanding and implementing data insights for the candidates. Some of these tools are:
1. Python
2. R
3. SQL
4. Tableau
5. Power BI
6. Hadoop
7. Apache Spark
The practical skills individuals will learn after completing our Data Science Course are as follows:
1) Gain complete knowledge of data science and how to use it in real-life business
2) Understand the probability and statistics of Data Science
3) Get a complete understanding of data collection, data mining, and machine learning
4) Learn tools like Python
Do you want to learn more about Learners Point Academy?
- Learn more about courses
- Understand about our methodology
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- Anything else that you want to know, we are here for you!
