Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
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 is an interdisciplinary field that involves extracting insights and knowledge from data using various techniques such as statistical analysis, machine learning, and data visualization.
Learning data science is important because it equips individuals with the skills to extract valuable insights from data, make data-driven decisions, and solve complex problems across industries.
Effective methods for learning data science include online courses, bootcamps, self-study through books and tutorials, and practical application of skills on real-world projects.
Some common challenges encountered by data scientists include data quality issues, dealing with large and complex datasets, selecting appropriate models and algorithms, and interpreting and communicating results effectively.
The cost of a data science course in Dehradun can vary depending on the institution and program, but it generally ranges from INR 40,000 to INR 50,000.
The eligibility criteria for enrolling in a data science course can vary, but typically it requires a bachelor's degree in a relevant field (such as computer science, mathematics, or statistics) and a basic understanding of programming and statistics.
The scope of data science is vast and expanding rapidly, with increasing demand in various industries like finance, healthcare, e-commerce, and technology, offering opportunities for data scientists to solve complex problems, make informed decisions, and drive innovation.
Certification in data science is significant as it provides a recognized validation of one's skills and knowledge in the field, enhancing career prospects and credibility among employers and peers.
Yes, there is a significant demand for data science courses due to the increasing need for data-driven insights and decision-making in organizations across industries.
Pursuing a career in data science is generally considered safe due to the growing demand for data scientists, the wide range of industries that require their expertise, and the potential for career growth and attractive salary prospects
Data science can be challenging as it requires a combination of skills from various disciplines, including programming, statistics, and machine learning. However, with dedication and continuous learning, it is an achievable field of study.
Python is a powerful programming language commonly used in data science due to its extensive libraries and frameworks for data manipulation, analysis, and machine learning. However, proficiency in other tools and languages like R and SQL can also be beneficial in certain data science contexts.
SQL is often used for managing and querying relational databases, which can be an important skill for data scientists working with structured data. While not a strict requirement, familiarity with SQL can be valuable for accessing and manipulating data efficiently.
A solid understanding of statistics is necessary for data science as it forms the foundation for various statistical techniques, hypothesis testing, and model evaluation. Statistical knowledge helps in making informed decisions and drawing meaningful insights from data.
Necessary skills for becoming a data scientist include proficiency in programming languages (such as Python or R), statistical analysis, machine learning, data manipulation, and data visualization.
DataMites stands out as an excellent choice for a Data Science course in Dehradun due to its skilled faculty, comprehensive curriculum that encompasses diverse data science subjects, emphasis on practical learning with hands-on experience, industry-oriented projects, and dedicated support for placement opportunities.
DataMites Certified Data Scientist Course in Dehradun is open to individuals with a strong foundation in mathematics and programming, as well as those with previous experience in statistics, engineering, or related disciplines. This inclusive approach caters to a diverse range of participants who have aspirations to establish a thriving career in the dynamic field of Data Science.
One should opt for the DataMites data science course in Dehradun for its meticulously designed curriculum, experienced faculty, interactive hands-on learning opportunities, practical project assignments, and industry-focused training. This comprehensive program can significantly enhance your knowledge and skills in data science, thereby improving your job prospects in the field.
The course duration spans over 8 months with 700 learning hours, which includes 120 hours of live online training.
Upon completion of the data science course in Dehradun, students receive the prestigious IABAC certification, widely acknowledged globally. This certification serves as a valuable credential, enhancing employment prospects and enabling participation in internship programs, thereby significantly enriching opportunities in the field of data science.
DataMites provides strong support and guidance for placements through their dedicated Placement Assistance Team (PAT) upon successful completion of the course. The personalized assistance offered by PAT ensures individuals receive comprehensive support in securing suitable job placements, significantly boosting their employment prospects and opening up a multitude of opportunities.
DataMites provides a wide array of data science courses in Dehradun that encompass diverse areas such as Data Science Foundation, Data Science for Managers, Data Science Associate, Diploma in Data Science, Python for Data Science, Statistics for Data Science, Data Science Marketing, Data Science Operations, Data Science Retail, Data Science for HR, Data Science with Finance, and Data Science.
DataMites is widely recognized for its team of highly experienced and knowledgeable educators who are industry experts in the field of data science. With their exceptional qualifications, certifications, and extensive expertise, these instructors deliver outstanding instruction, empowering students to develop a comprehensive understanding of the subject matter.
DataMites offers flexible learning options to accommodate the preferences of students, providing a range of choices such as live online sessions, self-paced learning, and on-demand classroom training. This flexibility empowers individuals to choose the learning approach that best fits their needs, making it convenient for them to pursue their data science education.
DataMites provides a comprehensive overview of its training approach and offers a complimentary demo class, giving students an opportunity to fully grasp the training process and its components. This allows individuals to evaluate the quality and suitability of the training before making a commitment.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Dehradun through:
DataMites offers its Data Science Course in Dehradun at various price points, providing options such as INR 35,000 for live online training, INR 21,000 for blended learning, and INR 44,000 for on-demand classroom training. This flexible pricing structure allows individuals to choose the plan that best suits their budget and preferred mode of learning.
To acquire the participation certificate and book the certification exam, it is mandatory to present valid photo identification proofs such as a National ID card or a Driving license. These identification proofs are crucial in ensuring the authenticity and accuracy of the certification process.
The salary of a data scientist in India ranges from INR 11,30,556 per year according to a Glassdoor report.
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.