Instructor Led Live Online
Self Learning + Live Mentoring
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The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
MODULE 1: DATA SCIENCE COURSE INTRODUCTION
MODULE 2: DATA SCIENCE ESSENTIALS
MODULE 3: DATA SCIENCE DEMO
MODULE 4: ANALYTICS CLASSIFICATION
MODULE 5: DATA SCIENCE AND RELATED FIELDS
MODULE 6: DATA SCIENCE ROLES & WORKFLOW
MODULE 7: MACHINE LEARNING INTRODUCTION
MODULE 8: DATA SCIENCE INDUSTRY APPLICATIONS
MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDASPACKAGE
MODULE 1: OVERVIEW OF STATISTICS
MODULE 2: HARNESSING DATA
MODULE 3: EXPLORATORY DATA ANALYSIS
MODULE 4: HYPOTHESIS TESTING
MODULE 5: CORRELATION AND REGRESSION
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: PYTHON NUMPY & PANDAS PACKAGE
MODULE 3: VISUALIZATION WITH PYTHON
MODULE 4: ML ALGO: LINEAR REGRESSION
MODULE 5: ML ALGO: KNN
MODULE 6: ML ALGO: LOGISTIC REGRESSION
MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 8: ML ALGO: K MEANS CLUSTERING
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 7: ML ALGO: DECISION TREE
MODULE 8 : ML ALGO: NAÏVE BAYES
MODULE 9: GRADIENT BOOSTING, XGBOOST
MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 12: ADVANCED ML CONCEPTS
MODULE 1: TIME SERIES FORECASTING - ARIMA
MODULE 2: FEATURE ENGINEERING
MODULE 3: SENTIMENT ANALYSIS
MODULE 4: REGULAR EXPRESSIONS WITH PYTHON
MODULE 5: ML MODEL DEPLOYMENT WITH FLASK
MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 7: AWS CLOUD FOR DATA SCIENCE
MODULE 8: AZURE FOR DATA SCIENCE
MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL)
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7 : DOCUMENT DB/NO-SQL DB
MODULE 1: GIT INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET
MODULE 1: BIG DATA INTRODUCTION
MODULE 2 : HDFS AND MAP REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5 : MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU : BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES
MODULE 6: BI WITH POWER-BI
Data Science encompasses extracting insights and knowledge from data through a combination of statistics, programming, and domain expertise. It involves processes like data collection, cleaning, analysis, and interpretation to inform decision-making.
While coding skills, particularly in languages like Python and R, are valuable in Data Science, individuals without coding experience can still enter the field using user-friendly tools. However, learning programming enhances versatility and problem-solving capabilities.
The Data Science process involves defining objectives, collecting relevant data, cleaning and preprocessing data, exploratory data analysis, building models, evaluating results, and deploying solutions. It's an iterative process that often requires collaboration between multidisciplinary teams.
Educational qualifications vary, but a strong foundation in mathematics, statistics, and computer science is beneficial. Many Data Scientists hold degrees in fields like computer science, statistics, or related disciplines. Advanced degrees (master's or PhD) are common but not mandatory.
Critical skills for Data Scientists include statistical analysis, machine learning, data visualization, problem-solving, and domain expertise. Effective communication, both technical and non-technical, is crucial. Business acumen and curiosity to explore and understand data patterns are also essential.
Proficiency in Python is highly recommended for Data Science due to its extensive libraries and community support. While other languages like R or Julia are used, Python's versatility and widespread adoption make it a common prerequisite.
The Data Science field in Turkey is evolving with increasing demand. Professionals typically start as Data Analysts, progressing to roles like Data Scientist or Machine Learning Engineer. Continuous learning and networking with the global community enhance career growth.
Data Science Certification Courses are open to individuals from diverse backgrounds, including recent graduates, working professionals, or career changers. Basic quantitative skills and a desire to learn are more critical than specific educational backgrounds. Online platforms offer flexibility for self-paced learning.
Start by gaining foundational knowledge in mathematics, statistics, and programming. Explore online courses and local workshops. Engage with the Data Science community through meetups or online forums, and consider pursuing relevant academic degrees or certifications.
Acquire comprehensive data science skills with the Certified Data Scientist Course in Turkey. This program covers key areas like data analysis, machine learning, and statistical modeling, providing hands-on experience and industry-recognized certification for a successful career in the dynamic field of data science.
Data Scientists in Turkey receive lucrative compensation, boasting competitive salaries averaging TRY 79,736 annually, according to Indeed. This reflects the high demand for data science expertise in the Turkish job market, where organizations value the unique skill set and contributions of Data Scientists, making it an attractive and rewarding career choice.
Build a diverse portfolio showcasing projects that highlight your skills. Include real-world problem-solving, data visualization, and machine learning applications. Document your process, share code on platforms like GitHub, and articulate the business impact of your projects.
Demand for Data Scientists is prominent in industries like finance, healthcare, e-commerce, and telecommunications. Istanbul, Ankara, and Izmir are major hubs, with companies increasingly leveraging data for decision-making.
Current trends include explainable AI, federated learning, and automated machine learning (AutoML). Natural Language Processing (NLP) and reinforcement learning are gaining traction. Ethical considerations and responsible AI practices are also becoming integral to the field.
While a postgraduate degree is not mandatory for training courses, it enhances credibility. Many training programs accept candidates with strong quantitative skills, relevant work experience, or a bachelor's degree in a related field.
Data Science is aiding Turkish enterprises by optimizing operations, improving customer experience, and enhancing decision-making. Predictive analytics helps in inventory management, and machine learning enhances fraud detection. It contributes to overall efficiency and innovation across various sectors.
Big Data and Data Science are interrelated. Big Data involves handling massive datasets, while Data Science uses statistical methods, machine learning, and analytics to extract insights from data. Data Science is a broader field, encompassing Big Data tools and techniques for analysis.
Data Science finds applications in finance, healthcare, marketing, and more. In finance, it aids in risk assessment; in healthcare, it enhances diagnostics. Marketing benefits from customer segmentation, and e-commerce utilizes recommendation systems, showcasing its versatile applications across industries.
Data Science is a broader field encompassing data analysis, visualization, and deriving insights. Machine Learning is a subset of Data Science, focusing specifically on algorithms that enable computers to learn patterns and make predictions based on data. Data Science includes ML but extends beyond to cover various data-related processes.
Include diverse projects showcasing skills in data cleaning, exploratory data analysis, and machine learning applications. Highlight your ability to solve real-world problems and articulate the impact of your work. Clearly present your methodology, code on platforms like GitHub, and showcase effective data visualization. Tailor the portfolio to align with the specific requirements of the role you're targeting.
The DataMites Certified Data Scientist Course in Turkey stands as the world's most popular and comprehensive program in Data Science and Machine Learning. Rigorously updated to meet industry demands, this job-oriented course offers a structured learning process, ensuring participants acquire the necessary skills efficiently.
The fee structure for DataMites' data science training programs in Turkey ranges from TRY 15,679 to TRY 39,203. This pricing model offers flexibility, allowing participants to choose a program that aligns with their preferences and budgetary considerations.
Individuals new to the field in Turkey can embark on their data science journey with accessible training options. Offerings like the Certified Data Scientist program, Data Science in Foundation, and Diploma in Data Science cater to beginners, providing foundational knowledge and hands-on skills essential for entry into the dynamic realm of data science.
Working professionals in Turkey seeking to enhance their data science knowledge can explore specialized courses by DataMites. Offerings such as Statistics for Data Science, Data Science with R Programming, Python for Data Science, and sector-specific certifications in operations, marketing, HR, and finance ensure professionals acquire advanced skills tailored to their career needs.
The duration of DataMites data science courses in Turkey varies, ranging from 1 month to 8 months. The specific timeline is determined by the level and intensity of the course, ensuring flexibility to accommodate diverse learning needs and schedules.
There are no prerequisites for the Certified Data Scientist Training in Turkey. This course is designed for beginners and intermediate learners in the field of data science, making it accessible to individuals with diverse backgrounds and experiences.
DataMites in Turkey provides convenient online data science training, enabling participants to learn from anywhere without geographical limitations. The interactive platform creates an engaging learning environment through discussions, forums, and collaborative activities, enhancing the overall training experience.
DataMites selects elite mentors and faculty members with real-time experience from top companies and prestigious institutes like IIMs. This stringent criteria ensure that trainers leading data science training sessions possess practical industry knowledge and academic excellence.
Participants are required to bring photo identification proof, like a national ID card or driver's license, when obtaining their participation certificate and scheduling any necessary certification exams during the data science training sessions.
DataMites provides an array of data science certifications in Turkey, including the globally recognized Certified Data Scientist program. The offerings extend to specialized courses like Data Science for Managers, Data Science Associate, and Diploma in Data Science. Tailored modules such as Statistics for Data Science, Python for Data Science, and sector-specific tracks like Data Science in Finance and HR cater to diverse learning needs.
In the event a participant misses a data science training session in Turkey, they can access recorded sessions and supplementary materials to catch up on the content. This ensures that participants don't fall behind and can still benefit from the complete training experience.
Yes, DataMites offers a complimentary demo class for prospective participants in Turkey. This allows individuals to experience a sample of the data science training before committing to the course fee, ensuring they make an informed decision about their investment.
Yes, DataMites offers data science courses with internships in Turkey, providing participants with valuable hands-on experience in collaboration with AI companies.
For managers or leaders looking to integrate data science into decision-making, the most suitable course is "Data Science for Managers," providing insights and strategies tailored for effective utilization of data in managerial processes.
Yes, DataMites in Turkey offers a Data Scientist course with 10+ capstone projects and 1 live client project, providing hands-on experience and practical application of skills.
The Flexi-Pass at DataMites for data science training in Turkey introduces a flexible learning approach. Participants can choose their training schedule from a range of available slots, adapting to their convenience. This allows individuals to balance their professional commitments while gaining expertise in data science.
DataMites integrates career mentoring sessions into its data science training courses in Turkey, providing personalized guidance to participants. These sessions encompass goal setting, skill development, and job market insights, ensuring individuals are well-prepared for a successful career in data science.
DataMites in Turkey offers diverse training methods for its data science courses, including online data science training in Turkey and self-paced training, providing flexibility for participants to learn at their own convenience.
Upon completing DataMites' Data Science Training in Turkey, participants receive IABAC Certification, validating their expertise and industry relevance in the field.
Upon completion of DataMites' Data Science Training in Turkey, participants receive a certification. To obtain it, individuals must fulfill course requirements, including assessments and project submissions. Once these criteria are met, participants can request their certificate through the online platform, marking a formal acknowledgment of their accomplishment in data science.
Yes, DataMites provides optional help sessions in Turkey for participants seeking a deeper understanding of specific data science topics. These sessions offer additional clarification and support, ensuring participants can grasp complex concepts and excel in their learning journey.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.