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 the extraction of insights and knowledge from data, employing methods like statistics, machine learning, and data analysis.
The operational process of Data Science involves the collection, processing, and analysis of extensive datasets to uncover meaningful patterns, trends, and insights, facilitating informed decision-making across diverse industries.
Data Science finds practical applications in predictive modeling, machine learning, and data-driven decision-making within sectors such as healthcare, finance, marketing, and more.
Key components of a Data Science pipeline include stages such as data collection, preprocessing, exploratory data analysis, feature engineering, model training, evaluation, and deployment.
Big Data and Data Science are closely interlinked, with Big Data involving the handling of large and complex datasets that necessitate specialized tools and techniques, aligning with the principles of Data Science.
Data Science is applied diversely across industries, including healthcare for predictive analytics, finance for risk assessment, and e-commerce for tailoring personalized recommendations.
To pursue a career in Data Science, individuals often require an educational background in computer science, statistics, or related fields, coupled with proficiency in programming and data manipulation.
Vital skills for a Data Scientist encompass proficiency in programming, statistical analysis, machine learning, and effective communication.
Developing a robust Data Science portfolio involves showcasing projects that exhibit the practical application of skills, innovative problem-solving, and creativity.
Industries actively seeking Data Scientists comprise the technology, finance, healthcare, and e-commerce sectors.
Emerging trends in Data Science include advancements in explainable AI, automated machine learning, and the integration of data ethics.
The data science job market in Brazil in 2024 is shaped by a combination of industry demand and ongoing technological advancements.
A prominent choice for data science training in Brazil is the Certified Data Scientist Course, covering essential topics like machine learning and data analysis.
Data science internships in Brazil hold substantial value, offering practical experience and networking opportunities for aspiring professionals.
According to a Glassdoor report, the average annual salaries for data science professionals in Brazil range from BRL 24,111.
Newcomers can realistically pursue a data science course and secure employment in Brazil by cultivating a strong skill set and incorporating relevant projects into their portfolios.
Businesses in Brazil utilize data science for growth by harnessing analytics to gain customer insights, streamline processes, and make strategic decisions.
In the finance sector, data science applications extend to areas such as fraud detection, risk assessment, and algorithmic trading.
Data science significantly contributes to e-commerce by empowering recommendation systems, personalizing user experiences, and optimizing supply chain management.
In cybersecurity, data science plays a pivotal role in identifying anomalies, detecting potential threats, and enhancing overall security measures.
In manufacturing and supply chain management, data science applications are prevalent for tasks such as demand forecasting, inventory optimization, and enhancing process efficiency.
The Datamites™ Certified Data Scientist course provides a comprehensive exploration of key data science components, including programming, statistics, machine learning, and business knowledge. Emphasizing Python as the primary language and accommodating R for those already familiar, the course ensures a well-rounded understanding. Successful completion, crowned with the IABAC™ certificate, equips individuals for success in the dynamic field of data science.
While a statistical background can be beneficial, it's not always a mandatory requirement for pursuing a data science career in Brazil. Priority is often given to proficiency in relevant tools, programming languages, and practical problem-solving skills.
For beginners in Brazil seeking foundational training in data science, there are various options available, including courses like Certified Data Scientist, Data Science Foundation, and Diploma in Data Science.
Certainly, DataMites in Brazil offers a range of courses tailored for professionals aiming to augment their expertise. These include Statistics for Data Science, Data Science with R Programming, Python for Data Science, Data Science Associate, and specialized certifications in Operations, Marketing, HR, and Finance.
The data science course in Brazil offered by DataMites has a duration of 8 months.
The career mentoring sessions at DataMites are conducted interactively, offering personalized guidance on resume building, interview preparation, and career strategies. These sessions provide valuable insights and tactics to enhance the professional journey of participants in the data science field.
Upon successful completion, participants receive the prestigious IABAC Certification from DataMites. This internationally recognized certification validates their proficiency in data science concepts and practical applications, enhancing their credibility in the field.
To excel in data science, it's essential to have a strong foundation in mathematics, statistics, and programming. Develop analytical skills, proficiency in languages like Python or R, and hands-on experience with tools like Hadoop or SQL databases.
The data science training fee in Brazil varies from BRL 2,626 to BRL 6,565 depending on the specific program.
Certainly, DataMites provides a Data Scientist Course in Brazil that includes practical learning with over 10 capstone projects and a dedicated client/live project, offering hands-on experience and real-world applications.
Instructors selected for data science training at DataMites hold certifications, possess extensive industry experience, and demonstrate expertise in the subject matter.
DataMites offers flexible learning methods, including Live Online sessions and self-study, to accommodate participants' preferences.
The FLEXI-PASS option in DataMites' Certified Data Scientist Course allows participants to join multiple batches, enabling them to review topics, address doubts, and solidify comprehension across various sessions for a comprehensive understanding of the course content.
Yes, participants will receive a Certificate of Completion from DataMites upon finishing the Data Science Course, validating their proficiency in data science.
Participants are required to bring a valid Photo ID Proof, such as a National ID card or Driving License, to obtain a Participation Certificate and schedule the certification exam as needed.
In case of a missed session in the DataMites Certified Data Scientist Course in Brazil, participants usually have the option to access recorded sessions or attend support sessions to make up for missed content and clarify doubts.
Yes, potential participants at DataMites can attend a demo class before making any payment for the Certified Data Scientist Course in Brazil to assess the teaching style, course content, and overall structure.
Yes, DataMites incorporates internships into its certified data scientist course in Brazil, providing a unique learning experience that combines theoretical knowledge with practical industry exposure, enhancing skills and job opportunities.
Upon successful completion of the Data Science training, you will be granted an internationally recognized IABAC® certification, confirming your proficiency in the field and elevating your employability on a global level.
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.