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 a multidisciplinary field that involves extracting insights and knowledge from data using various techniques, tools, and algorithms.
Learning data science is crucial as it equips individuals with the skills to analyze and interpret large volumes of data, enabling informed decision-making, predictive modeling, and valuable insights for businesses and organizations.
Proficiency in programming languages like Python or R, statistical analysis, machine learning algorithms, data visualization, problem-solving, and domain knowledge are essential skills for aspiring data scientists.
To learn data science effectively, a combination of theoretical knowledge, practical implementation through projects, hands-on experience with real-world datasets, and continuous learning and practice is recommended.
Common challenges for data scientists include data quality issues, data cleaning and preprocessing, managing and analyzing large datasets, selecting appropriate algorithms, and effectively communicating insights to non-technical stakeholders.
The cost of a data science course in Itanagar ranges from INR 40,000 to INR 50,000 depending on the institute, course duration, and curriculum.
The eligibility criteria for data science courses can vary, but typically a background in mathematics, statistics, computer science, or a related field is preferred.
Data science has a vast scope across industries as it helps organizations make data-driven decisions, improve operational efficiency, develop predictive models, optimize marketing strategies, enhance customer experience, and drive innovation.
A data science certification provides credibility and validates one's skills and knowledge in the field, enhancing job prospects and career opportunities in the competitive data science industry.
Data science courses are in high demand due to the increasing need for data-driven insights and skilled professionals who can harness the power of data to drive business growth and innovation.
While it may be more challenging for a fresher to land a job as a data scientist directly, there are entry-level positions such as data analyst, data engineer, or junior data scientist that can provide valuable experience and pave the way for a career in data science.
Data science is considered a safe career choice as the demand for skilled professionals continues to grow across industries as technologies are emerging and continuous learning is crucial to remain competitive.
Python is widely regarded as the best programming language for data science due to its extensive libraries, ecosystem, ease of use, and flexibility for tasks such as data manipulation, analysis, and machine learning.
While coding is an integral part of data science, the extent of coding can vary depending on the specific tasks and projects. Data scientists typically use programming languages for tasks like data preprocessing, analysis, and implementing machine learning algorithms.
Data science can be challenging due to the interdisciplinary nature of the field, requiring a blend of technical, mathematical, and analytical skills. However, with dedication, continuous learning, and practice, it is achievable for motivated individuals.
DataMites offers a comprehensive Data Science course in Itanagar that covers all essential topics, provides hands-on experience with real-world projects, and offers industry-recognized certifications, making it an ideal choice for individuals aspiring to excel in the field of Data Science.
The Certified Data Scientist Course offered by DataMites in Itanagar is open to individuals with a strong foundation in mathematics and programming, as well as those with a background in statistics, engineering, or related fields, making it suitable for a wide range of participants interested in pursuing a career in Data Science.
Considering a data science course offered by DataMites in Itanagar would be beneficial as it provides comprehensive training, practical exposure through real-world projects, and industry-recognized certifications, enabling individuals to acquire the necessary skills and knowledge to succeed in the field of data science.
The course duration for data science is 8 months with 700 learning hours and 120 hours of live online training.
Yes, after completion of the data science course, the students are certified with globally recognized IABAC certification which helps them during job and internship programs.
Upon completing the course, DataMites offers dedicated placement assistance through their Placement Assistance Team (PAT), ensuring that individuals receive support and guidance in securing employment opportunities.
DataMites offers 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 provides highly experienced educators who possess extensive expertise in the field of data science, along with the necessary qualifications and certifications. Leveraging their years of experience, they offer superior instruction, ensuring a comprehensive understanding of the subject matter.
DataMites provide flexible learning options to suit student’s preferences, offering a range of choices from live online sessions to self-paced learning methods and on-demand classroom training.
Yes, DataMites provide an overview of the training approach and a complimentary demo class will be arranged, enabling the students to gain a better understanding of the training process and its components.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Itanagar through:
The price of the Data Science Course offered by DataMites in Itanagar ranges from INR 35,000 for live online training, INR 21,000 for blended learning and INR 44,000 for on-demand classroom training.
Yes. Photo ID proofs like a National ID card, Driving license etc. are needed for issuing the participation certificate and booking the certification exam as required.
The salary of a data scientist in India ranges from INR 11,30,556 per year according to a Glassdoor report.
With the Flexi-Pass for Data Science training, the students will have the flexibility to attend Datamites sessions for a duration of 3 months. This pass allows you to address any queries or engage in revision as per your preferences.
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.